Click on the tabs for more detail about the research and locations for each of the open positions.

Please contact the local supervisory teams for more information.

For information on the application procedure, go to the recruitment procedure page.

All applications must be via the forms on the recruitment procedure page.

PhD 01 - Digital product passport and data integration for circular refractory raw materials and industrial applications

A 36 Months PhD starting in October 2026 and supervised between ULIEGE (Belgium) and RHIM-Leoben (Austria)

PhD01 will define and implement a Digital Product Passport tailored to refractory raw materials, including both primary and recycled materials. The purpose is to make information such as composition, processing history, performance indicators and provenance machine-readable and interoperable with industrial plant systems and digital twin environments. The project will build a demonstrator populated with data from recycling hubs and automated sorting systems for brick and monolithic ladle linings. It will also identify data gaps and develop artificial intelligence-based strategies to estimate missing values, while keeping uncertainty transparent and auditable. The work will ensure compatibility with the semantic data platform developed in Work Package 1 and with the predictive tools developed in Work Package 3, so that environmental indicators from Life Cycle Assessment and operational key performance indicators can circulate across design, production, use and end-of-life stages.
The project will deliver a refractory-specific Digital Product Passport data model covering composition, processing history, performance indicators and provenance. It will also provide interoperability rules aligned with plant systems and digital twins, a demonstrator populated with real recycling and sorting data, integration guidelines, and a roadmap for deployment and standardisation. This will provide the project with a common digital traceability backbone for circular refractory value chains.
PhD01 interacts closely with PhD02, PhD03 and PhD04, as it provides the traceability backbone that connects environmental assessment, cloud-based data integration and automated quality control. It also receives materials-related information from the refractory development projects and operational performance information from the digital modelling and optimisation projects, helping create a common digital record across the full refractory life cycle.
Short stay (1 week) at Siemens to acquire an in-depth understanding of the database architecture developed in PhD03 and the data structures required to process the input data generated in PhD01.
Work contract timeline:

  • Period 1 – ULIEGE, Liège, Belgique (9 months)​
  • Period 2 – RHI MAGNESITA, Leoben, Austria (18 months)
  • Period 3 – ULIEGE, Liège, Belgique (9 months)​

Work location timeline:

  • Period 1 and period 3 – ULIEGE, Liège, Belgium (9 months months per period)
  • Period 2 – RHI MAGNESITA, Leoben, Austria (18 months)
Master’s level in Materials Science and/or Computer Science or Big Data Engineering. Candidates should be excellent in their skills for developing an innovative DPP demonstrator including information coming from several fields along the value chain. Oral and written communication skills (English) are also required. Some experience in Python and/or C++ programming will be appreciated.
Some examples of recent publications:

  • Leitner, A., Neuhold, S., Heid, S., Gavagnin, D., Meschik, P.M., Stastny, R., Zocratto, B. and Naves Moraes, M. (2024) ‘Enhancing refractory recycling: The role of automated sensor-based sorting systems’, RHI Magnesita Bulletin, pp. 41–46. Available at: https://www.rhimagnesita.com/the-bulletin-blog/enhancing-refractory-recycling/.
  • Psarommatis, F. and May, G. (2024) ‘Digital Product Passport: A pathway to circularity and sustainability in modern manufacturing’, Sustainability, 16(1), p. 396. Available at: https://doi.org/10.3390/su16010396.
  • Demmler, D., Krupka, D. and Federrath, H. (2022) ‘Requirements for a Digital Product Passport to boost the circular economy’, INFORMATIK 2022, Lecture Notes in Informatics (LNI), pp. 1–10. Available at: https://doi.org/10.18420/inf2022_127.
  • Badioli, S., Dargaud, M. and Léonard, A. (2025) LCA of recycling processes of refractory materials, with ecodesign recommendations. Deliverable 1.3. Available at: https://doi.org/10.5281/zenodo.17150998
  • Carminati, L., Arioli, V., Sala, S., Pirola, F. and Pezzota, G. (2026) ‘Towards effective implementation of digital product passports: stakeholders involved and data requirements’, in Mizumaya, H., Morinaga, E., Nonaka, T., Kaihara, T., von Cieminski, G. and Romero, D. (eds.) Advances in Production Management Systems: Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond. APMS 2025. IFIP Advances in Information and Communication Technology, vol. 766. Cham: Springer. Available at: https://doi.org/10.1007/978-3-032-03538-7_38

PhD 02 - Ecodesign and life cycle assessment of ladle refractory configurations for sustainable steelmaking operations.

A 36 Months PhD starting in October 2026 and supervised between ULIEGE (Belgium) and VESUVIUS (Ghlin, Belgium)

PhD02 will develop Life Cycle Assessment methodologies specifically adapted to refractory circularity and to the real operating conditions of steel ladles. The project will generate robust environmental profiles for brick, monolithic and hybrid lining configurations by collecting primary industrial data on manufacturing, operation and end-of-life. It will model several recycling and reuse routes in order to avoid downcycling and will combine environmental assessment with raw-material criticality analysis to reveal trade-offs between environmental performance and supply risk. The resulting indicators will be prepared for integration into the Digital Product Passport and the Decision Support System, so that environmental performance can directly inform material selection, design choices, scheduling and end-of-life decisions.
The project will deliver full environmental profiles for reference ladle lining solutions, criticality and supply-risk analyses for key raw materials, and ecodesign recommendations for reducing environmental hotspots. It will also provide guidance for end-users and regulators, as well as harmonised data models that support digital traceability and future regulatory compliance. ​
PhD02 works in close connection with PhD01 and PhD04, using Digital Product Passport data and quality-control information to build robust environmental assessments. It also interacts with the materials development projects and the operational modelling projects, since their results help quantify use-phase impacts, compare design options and evaluate end-of-life scenarios from an environmental perspective.
  • Short stay (1 week) at RHIM/MIRECO to visit a refractory recycling plant and understand recycling operations, feedstock characteristics and sampling procedures.
  • Short stay (1 week) at Laser Analytical Systems & Automation to gain knowledge of automated refractory sorting systems and how they can support circular recycling routes.
  • Short stay (1 week) at Elkem to establish additional case studies, such as the impact of improved sorting quality on the use of secondary raw materials, through optimisation trials.
Work contract timeline:

  • Period 1 – ULIEGE, Liège, Belgique (9 months)​
  • Period 2 – VESUVIUS, Ghlin, Belgium (18 months)
  • Period 3 – ULIEGE, Liège, Belgique (9 months)​

Work location timeline:

  • Period 1 and period 3 – ULIEGE, Liège, Belgique (9 months per period)​
  • Period 2 – VESUVIUS, Ghlin, Belgium (18 months)
Master’s level in Materials Science and/or Chemical or Environmental Science Engineering. Candidates should be excellent in their skills for developing LCA studies in the above mentioned topic. Oral and written communication skills (English) are also required. Some experiences in using Simapro, OpenLCA or Brightway will be appreciated.
Some examples of recent publications:

  • Badioli, S., Jubayed, Md., Dargaud, M., Siebring, R. and Léonard, A. (2025) ‘Environmental performance of refractories: A state-of-the-art review on current methodological practices and future directions’, Environmental and Sustainability Indicators, 27, 100868. Available at: https://doi.org/10.1016/j.indic.2025.100868.
  • Boenzi, F. (2022) ‘Possible ecological advantages from use of carbonless magnesia refractory bricks in secondary steelmaking: A framework LCA perspective’, International Journal of Environmental Science and Technology, 19, pp. 5877–5896. Available at: https://doi.org/10.1007/s13762-021-03553-2.
  • Ferreira, G., López-Sabirón, A.M., Aranda, J., Mainar-Toledo, M.D. and Aranda-Usón, A. (2015) ‘Environmental analysis for identifying challenges to recover used reinforced refractories in industrial furnaces’, Journal of Cleaner Production, 88, pp. 242–253. Available at: https://doi.org/10.1016/j.jclepro.2014.04.087.
  • Badioli, S., Léonard, A. and Dargaud, M. (2025) LCA of recycling processes of refractory materials, with eco-design recommendations. Deliverable D1.3, CESAREF MSCA DN ID. Available at: https://doi.org/10.5281/zenodo.17150999.
  • Muñoz, I., Soto, A., Maza, D. and Bayón, F. (2020) ‘Life cycle assessment of refractory waste management in a Spanish steel works’, Waste Management, 111, pp. 1–9. Available at: https://doi.org/10.1016/j.wasman.2020.05.023

PhD 03 - Semantic data integration and cloud-based industrial platforms for circular refractory life cycle applications

A 36 Months PhD starting in October 2026 and supervised between Chair of Cyber Physical Systems (Leoben, Austria) and Siemens R&D (Graz, Austria)

PhD03 will design a semantic, cloud-based platform that harmonises heterogeneous data sources, including automated sorting and quality-control data, Digital Product Passport records, Life Cycle Assessment results, plant telemetry and digital twin outputs. The platform will provide secure, role-based access to interoperable data, dashboards and application programming interfaces for plant operators, sustainability teams and research and development staff. The project will also develop real-time sensor fusion, online visualisation and predictive tools based on advanced machine learning methods, and it will include life-cycle simulation tools for the creation of synthetic datasets. In parallel, it will build a database of secondary raw materials with information on composition, performance, environmental attributes and provenance, together with a prototype matchmaking tool for cross-industry circular exchanges.
The project will deliver a cloud platform that integrates the main data streams generated across the refractory life cycle, a curated database of by-products and secondary raw materials, and validated predictive and visualisation tools. It will also provide governance and deployment guidelines to support industrial uptake and long-term use.
PhD03 is strongly connected to PhD01, PhD02 and PhD04, as it integrates Digital Product Passport information, environmental indicators and automated sorting data into a common cloud-based platform. It also links with the materials and operations projects by making their data interoperable and accessible through dashboards, interfaces and predictive digital tools.
  • Short stay (1 week) at RHI Magnesita to visit a recycling plant and understand recycling operations, feedstock characteristics, sampling procedures and data availability.
  • Short stay (1 week) at Tata Steel to evaluate on site the requirements for integrating the digital twin environment into the project database.
Work contract timeline:

  • Period 1 – TUL, Leoben, Austria (18 months)
  • Period 2 – SIEMENS, Graz, Austria (18 months)

Work location timeline:

  • Period 1 – TUL, Leoben, Austria (18 months)
  • Period 2 – SIEMENS, Graz, Austria (18 months)
Master’s level in Computer Science, Physics, Mechanics, Robotics, or a related field. Oral and written communication skills (English) are a prerequisite. Strong programming skills. AI background and interest.
Some examples of recent publications:

  • Leitner, A., Neuhold, S., Heid, S., Gavagnin, S., Meschik, P., Stastny, R., Zocratto, B. and Naves Moraes, M. (2024) ‘Enhancing refractory recycling: The role of automated sensor-based sorting systems’, RHI Magnesita Bulletin, pp. 41–46. Available at: https://www.rhimagnesita.com/the-bulletin-blog/enhancing-refractory-recycling/.
  • Hoosain, M.S., Paul, B.S., Kass, S. and Ramakrishna, S. (2023) ‘Tools towards the sustainability and circularity of data centers’, Circular Economy and Sustainability, 3(1), pp. 173–197. Available at: https://doi.org/10.1007/s43615-022-00191-9.
  • Neubauer, M., Özdenizci, O., Piater, J. and Rueckert, E. (2025) ‘Sparsifying instance segmentation models for efficient vision-based industrial recycling’, in Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track. ECML PKDD 2025. Cham: Springer, pp. 21–37. Available at: https://doi.org/10.1007/978-3-032-06129-4_2.
  • Rueckert, E., Nakatenus, M., Tosatto, S. and Peters, J. (2017) ‘Learning inverse dynamics models in O(n) time with LSTM networks’, in 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). IEEE, pp. 811–816. Available at: https://doi.org/10.1109/HUMANOIDS.2017.8246965.
  • Dave, V., Özdenizci, O. and Rueckert, E. (2025) ‘Learning robust representations for visual reinforcement learning via task-relevant mask sampling’, Transactions on Machine Learning Research, 2025-September, article 4857. Available at: https://openreview.net/forum?id=2rxNDxHwtn.

PhD 04 - Automation and digitalisation for quality control and classification of spent refractory fine fractions

A 36 Months PhD starting in October 2026 and supervised between University of South-Eastern Norway and RHIM-Leoben (Austria) 

PhD04 will develop artificial-intelligence-driven quality-control and sorting methods for fine fractions of spent refractories, a material stream that is currently underused because of its strong heterogeneity. The project will combine Laser-Induced Breakdown Spectroscopy, Hyperspectral Imaging, Fourier-Transform Infrared Spectroscopy and Raman spectroscopy to classify particles and predict chemical composition, impurity risk and suitability for reuse. It will address sampling representativeness, heterogeneity and calibration transfer so that laboratory findings can be transferred to industrial inline sensors. The project will also quantify uncertainty and implement real-time process-control logic for routing materials into certified secondary raw-material lots. Finally, it will write batch-level quality and risk metadata into the Digital Product Passport so that downstream users can trust recycled inputs.
The project will deliver multi-sensor classification models, robust sampling and quality-assurance methods, and a demonstrator linking industrial feedstocks to certified secondary raw-material lots. These outputs will make fine refractory fractions traceable, measurable and reusable at industrial scale.
PhD04 interacts directly with PhD01, PhD02 and PhD03, since the quality and risk information it generates for recycled fine fractions feeds the Digital Product Passport, environmental assessment and cloud platform activities. It also supports the materials development projects by helping define impurity limits and recycled-material quality requirements for new refractory formulations.
  • Short stay (1 week) at Siemens, Austria to understand the database architecture developed in PhD03 and the data structures required to process the input data generated in PhD04.
  • Secondment period (6 months) at Laser Analytical Systems & Automation, Germany to evaluate and implement advanced artificial-intelligence-based methods for Laser-Induced Breakdown Spectroscopy spectra cleaning, region-of-interest selection, classification and sorting decisions.
  • Short stay (1 week) at Elkem, Norway to understand the requirements for the effective use of secondary raw materials in the refractory recipes studied in PhD06 and to adjust automated sorting techniques accordingly.
Work contract timeline:

  • Period 1 – RHI MAGNESITA, Leoben, Austria (18 months)
  • Period 2 – USN, Porsgrunn, Norway (18 months)

Work location timeline:

  • Period 1 – RHI MAGNESITA, Leoben, Austria (18 months)
  • Period 2 – USN, Porsgrunn, Norway (18 months)
Master’s degree in Materials Science, Chemical Engineering, Mechanical Engineering, Physics, or a closely related field. A background in materials science, particularly in powders and particulate materials, is highly desirable, with strong skills in laboratory characterisation techniques. Additional experience or strong interest in data analysis, signal processing, or machine learning applied to material systems or sensor data is advantageous. Familiarity with spectroscopic methods (e.g. LIBS, Raman, FTIR) or imaging techniques is a plus. Candidates should be comfortable working at the interface of experimental materials science, sensor technologies, and data-driven methods, with an interest in translating laboratory approaches to industrial process environments. Strong oral and written communication skills in English are required.
Some examples of recent publications:


PhD 05 - Development and optimisation of MgO-C and MgO castables with high recyclate content for sustainable steel ladles

A 36 Months PhD starting in October 2026 and supervised between Technical University of Leoben and ELKEM-Kristiansand (Norway)

PhD05 will investigate how the amount and particle-size distribution of recycled magnesium oxide-carbon and magnesium oxide materials influence corrosion, fracture and creep in no-cement ladle castables at service temperature. The project will define acceptable impurity levels and particle-size ranges, establish microstructure-property relationships and optimise binder-matrix-additive combinations to compensate for possible degradation associated with recycled inputs. Thermochemical and thermomechanical simulations will also be used to support material screening and recipe optimisation.
The project will produce optimised castable formulations with high recycled content, fracture and creep datasets suitable for simulation work, validated thermochemical models for relevant refractory and slag systems, and design recommendations that balance cost, wear, energy use and emissions.
PhD05 is closely linked to PhD06, PhD13 and PhD14. It complements the binder-development work by focusing on high-recycled-content castables, and it provides fracture, creep and corrosion data that are essential for wear modelling, finite element simulations and digital twin development. It also supports the sustainability and traceability projects by helping define acceptable quality windows for recycled raw materials.
  • Secondment period (2 months) at Vesuvius to perform thermochemical simulations and corrosion tests on newly developed refractory materials containing recycled inputs.
Work contract timeline:

  • Period 1 – ELKEM, Kristiansand, Norway (18 months)
  • Period 2 – TUL, Leoben, Austria (18 months)

Work location timeline:

  • Period 1 – ELKEM, Kristiansand, Norway (18 months)
  • Period 2 – TUL, Leoben, Austria (18 months)
Master’s level in Materials Science and/or Mechanical Engineering. Masters level background in materials science, ceramics or mechanical engineering with strong skills in laboratory characterisation of refractories including fracture testing is advantageous. Oral and written communication skills (English) are a prerequisite.
Some examples of recent publications:

  • Moritz, K., Brachhold, N., Hubálková, J., Schmidt, G. and Aneziris, C.G. (2023) ‘Utilization of recycled material for producing magnesia-carbon refractories’, Ceramics, 6(1), pp. 30–42. Available at: https://doi.org/10.3390/ceramics6010003.
  • Moritz, K., Dudczig, S., Endres, H.G., Herzog, D., Schwarz, M., Schöttler, L., Veres, D. and Aneziris, C.G. (2022) ‘Magnesia-carbon refractories from recycled materials’, International Journal of Ceramic Engineering & Science, 4(1), pp. 53–58. Available at: https://doi.org/10.1002/ces2.10115.
  • Ludwig, M., Śnieżek, E., Jastrzębska, I., Prorok, R., Sułkowski, M., Goławski, C., Fischer, C., Wojteczko, K. and Szczerba, J. (2021) ‘Recycled magnesia-carbon aggregate as the component of new type of MgO-C refractories’, Construction and Building Materials, 272, article 121912. Available at: https://doi.org/10.1016/j.conbuildmat.2020.121912.
  • Silva, W.M., Aneziris, C.G. and Brito, M. (2011) ‘Effect of alumina and silica on the hydration behaviour of magnesia-based refractory castables’, Journal of the American Ceramic Society, 94(12), pp. 4218–4225. Available at: https://doi.org/10.1111/j.1551-2916.2011.04788.x.
  • Silva, W.M. (2011) Microsilica-bonded magnesia-based refractory castables: Bonding mechanism and control of damage due to magnesia hydration. PhD thesis. Technische Universität Bergakademie Freiberg. Available at: https://nbn-resolving.org/urn:nbn:de:bsz:105-qucosa-77492.

PhD 06 - Microstructural engineering of cement-free binder systems for sustainable, high-performance refractory castables

A 36 Months PhD starting in October 2026 and supervised between IRCER-Limoges (France) and ELKEM-Kristiansand (Norway)

PhD06 aims to develop a new generation of cement-free binder systems for refractory castables by establishing clear links between binder chemistry, processing route, microstructural evolution and in-service performance. The project will investigate three complementary formulation families already identified in the REFFRACTEUR description: microsilica-gel binders, MgO-SiO₂-based systems, and MgO-containing formulations combined with hydratable and/or spherical alumina. The objective is not merely to replace conventional calcium-aluminate-cement routes, but to understand how alternative bonding concepts can be deliberately engineered to reduce the environmental footprint of castables while preserving, or even improving, their practical installation behaviour and high-temperature reliability. A first major objective is to control the early processing stages of these materials: wetting, dispersion, water demand, flowability, working time, setting, hardening and green strength. This point is essential because the literature shows that cement-free technologies can only become industrially attractive if they combine the installation advantages of conventional systems with improved drying and hot properties. In particular, recent work on microsilica-gel bonded no-cement castables has demonstrated that a properly designed dry binder package can deliver high self-flow, more defined setting behaviour, adequate demoulding strength and simplified logistics through an “all-in-the-bag” approach. More broadly, previous studies on nano-bonded and powdered alumina-silica binders confirm that non-hydraulic, CaO-lean or CaO-free routes offer genuine potential, provided that their rheology and setting mechanisms are carefully mastered. A second objective is to understand how these binder systems evolve during drying, heat treatment and service at elevated temperature. Particular attention will be paid to gelation and coagulation mechanisms, cation-mediated bonding, phase formation, interfacial reactions, sintering paths and the possible development of strengthening phases such as mullite or, depending on composition, Mg-containing reaction products. Existing studies show that microsilica-rich no-cement systems can form mullite-bearing bond phases associated with excellent hot mechanical behaviour, while the balance between MgO, SiO₂ and alumina strongly affects liquid formation, dimensional stability and corrosion resistance. PhD06 will therefore analyse how composition and thermal history govern mineralogy, bond morphology and microstructural stability under realistic refractory conditions. A third objective is to build robust structure-property relationships over several length scales. The project will investigate pore architecture, phase distribution, aggregate/matrix interfaces, local bonding features, microcrack susceptibility and the resulting thermo-mechanical properties. In line with the wider REFFRACTEUR ambition to move beyond empirical refractory design, the work will generate high-quality datasets linking processing conditions, microstructure and material properties, with direct relevance for future optimisation, recyclability assessment and integration into the project’s broader digital traceability, sustainability and decision-support frameworks.

PhD06 is expected to deliver a validated portfolio of optimised cement-free binder concepts for refractory castables together with a much deeper scientific understanding of why these formulations perform well. Rather than proposing a single empirical recipe, the project should define robust formulation windows for the main binder families under study and clarify the trade-offs between flowability, setting behaviour, green strength, drying safety, high-temperature stability, corrosion resistance and recyclability. This is a key expected outcome because the literature already shows that no-cement systems can outperform conventional low-cement castables in selected hot properties, but only when matrix design and bond evolution are tightly controlled. One major result should be a clearer mechanistic description of the bonding and consolidation phenomena operating from room temperature to service temperature. For microsilica-gel systems, this includes the role of cation-induced coagulation, the formation of a three-dimensional silica-based network, the influence of additive packages on set control and green strength, and the development of mullite-rich bonding structures at high temperature. For MgO-containing systems, the project should clarify how MgO interacts with silica and alumina-bearing fines, how these reactions affect bond development and dimensional stability, and under which conditions the advantages of cement-free design can be maximised without generating detrimental weak liquid phases. A second key expected result is the production of complete, experimentally grounded datasets linking formulation parameters and thermal processing conditions to microstructural descriptors and performance indicators. These datasets should include information relevant to phase assemblage, porosity, interfacial bonding, green mechanical strength, dry-out response, hot mechanical behaviour and resistance to thermo-chemical attack. This deliverable is explicitly consistent with the current PhD06 description and is scientifically important because it transforms binder development from trial-and-error formulation into rational microstructural design guidance. At REFFRACTEUR network level, such datasets can also feed wider activities related to sustainability assessment, data interoperability and predictive tools across the refractory life cycle. Finally, PhD06 is expected to provide practical design rules for low-carbon, recyclable castables that are credible for industrial transfer. In the REFFRACTEUR framework, this means recommendations that will be useful not only for this individual PhD project, but also for connected activities on ecodesign, castable optimisation, dry-out modelling, digital traceability and sustainability-oriented decision support. The most valuable result will therefore be a combination of optimised materials, validated understanding and reusable knowledge, enabling the transition from isolated formulation know-how towards a more circular, digitally connected and scientifically controlled methodology for designing the next generation of refractory castables.

PhD06 is strongly connected to other REFFRACTEUR projects working across materials design, sustainability assessment and digital modelling. Its development of cement-free, low-carbon binder systems provides direct input for PhD02, where environmental indicators, circularity criteria and ecodesign strategies must rely on realistic material options and robust primary data. It also interacts closely with PhD05, as the optimisation of castable formulations and microstructures requires a sound understanding of how alternative binders affect flow, setting, phase evolution and in-service performance. In parallel, PhD06 will generate valuable knowledge for PhD11 by clarifying the early-age behaviour, drying response and thermally induced evolution of the bond phase, which are essential for predictive modelling of castable behaviour. More broadly, the datasets produced in PhD06 will contribute to the project’s digital traceability and decision-support framework by linking processing, microstructure, properties and sustainability.

PhD06 includes a series of targeted short stays designed to strengthen both the experimental and modelling dimensions of the project.

  • At the Chair of Ceramics of the Technical University of Leoben, the doctoral candidate will perform advanced mechanical testing on selected cement-free castables, including fracture-energy and creep measurements, in order to relate binder design to in-service thermo-mechanical behaviour. These visits will also support exchanges with specialists in numerical modelling and help translate the experimental results into parameters relevant for predictive approaches.
  • Complementary short stays at the European Synchrotron Radiation Facility will provide access to large-scale instruments for high-temperature synchrotron X-ray diffraction and nano-holotomography. These experiments will make it possible to analyse phase evolution, interfacial reactions and microstructural changes in situ, thus providing unique insight into the behaviour versus temperature of the new binder systems.

Work contract timeline:

  • Period 1 – ELKEM, Kristiansand, Norway (18 months)
  • Period 2 – IRCER, Limoges, France (18 months)

Work location timeline:

  • Period 1 – ELKEM, Kristiansand, Norway (9 months)
  • Period 2 – IRCER, Limoges, France (18 months)
  • Period 3 – ELKEM, Kristiansand, Norway (9 months)

The ideal candidate for this PhD position will hold a Master’s degree (or equivalent) in Materials Science, Ceramics Engineering, Chemical Engineering, Inorganic Chemistry or a closely related discipline. A strong background in inorganic materials, phase transformations and powder-based processing is expected, together with a clear interest in refractory castables, sustainable binder systems and microstructural engineering. Previous hands-on experience with laboratory formulation, sample preparation and characterisation techniques such as SEM, XRD, thermal analysis or mechanical testing will be highly appreciated. Familiarity with high-temperature materials, colloidal or sol-gel chemistry, cement-free or low-cement castables, or thermochemical ageing of ceramics will be considered a strong asset. The successful applicant should be able to work both independently and within a multidisciplinary, international and strongly intersectoral environment, in close interaction with academic and industrial supervisors. Excellent oral and written communication skills in English are essential. The candidate should be rigorous, proactive and curious, with a genuine motivation to develop lower-carbon solutions for demanding high-temperature applications. A willingness to travel for research stays, network-wide training events and conferences is required, together with an openness to learning new experimental, analytical and digital approaches. Previous experience of collaborative or international research environments will be positively valued.

Some examples of recent publications:

  1. Nouri-Khezrabad, M., Braulio, M.A.L., Pandolfelli, V.C., Golestani-Fard, F. and Rezaie, H.R. (2013) ‘Nano-bonded refractory castables’, Ceramics International, 39(4), pp. 3479–3497. Available at: https://doi.org/10.1016/j.ceramint.2012.11.028.
  2. Peng, H. (2023) ‘Recent progress in microsilica-gel bonded no-cement castables’, Ceramics International, 49(14, Part B), pp. 24566–24571. Available at: https://doi.org/10.1016/j.ceramint.2022.12.187.
  3. Peng, H., Liu, J., Wang, Q. and Li, Y. (2020) ‘Improvement in slag resistance of no-cement refractory castables by matrix design’, Ceramics, 3(1), pp. 31–39. Available at: https://doi.org/10.3390/ceramics3010004.
  4. Luz, A.P., Lopes, S.J.S., Gomes, D.T. and Pandolfelli, V.C. (2018) ‘High-alumina refractory castables bonded with novel alumina-silica-based powdered binders’, Ceramics International, 44(8), pp. 9159–9167. Available at: https://doi.org/10.1016/j.ceramint.2018.02.124.
  5. Stadtmüller, T.M.J., Storti, E., Brachhold, N., Lauermannová, A.-M., Jankovský, O., Schemmel, T., Hubálková, J., Gehre, P. and Aneziris, C.G. (2023) ‘MgO–C refractories based on refractory recyclates and environmentally friendly binders’, Open Ceramics, 16, article 100469. Available at: https://doi.org/10.1016/j.oceram.2023.100469.

Some examples of recent PhD manuscripts:

  1. Auvray, J.M. (2003) ‘Elaboration et caractérisation a haute température de bétons réfractaires à base d’alumine spinellehttps://cdn.unilim.fr/files/theses-doctorat/2003LIMO0003.pdf
  2. Ghassemi-Kakroudi, M. (2007) ‘Comportement thermomécanique en traction de bétons réfractaires : influence de la nature des agrégats et de l’histoire thermique, https://ircertmc-my.sharepoint.com/:b:/g/personal/marc_huger_ircer-tmc_com/IQDBkwOTPtjiS5-abqUPiU03AY7aNC9E4Y216THavmoVgp0?e=bzbE3D
  3. Kaczmarek, R. (2021) ‘Improvement of strain field monitoring at high temperature and thermomechanical characterization of alumina spinel refractory materials’ https://theses.hal.science/tel-03644452v1/file/2021LIMO0114.pdf
  4. Mouiya, M. (2024) ‘Thermomechanical properties of refractory materials, influence of the diffuse microcracking’ https://ircertmc-my.sharepoint.com/:b:/g/personal/marc_huger_ircer-tmc_com/IQDvQ6iWIMI2TZuyTYbAyvbSAaaC-0TEIamKVO-7TwubFO4?e=klYsL5
  5. Boateng, K. (2026) ‘Microstructure design of refractory castables for in use thermomechanical properties optimizationhttps://ircertmc-my.sharepoint.com/:b:/g/personal/marc_huger_ircer-tmc_com/IQDlRUn2WkEYSpIth2-DvbtgARuBl_bKlCkjRIJ6JLGsX3c?e=agmRU7

Full package of relevant publications – https://ircertmc-my.sharepoint.com/:f:/g/personal/marc_huger_ircer-tmc_com/IgAGXTYnLf_XR64qN6yvXKYEAWNPMUCikqZ4p3zlEf-X90M?e=eP4TV7


PhD 07 - Virtual laboratory for microcracks prediction in refractory materials: From DEM modelling to industrial application

A 36 Months PhD starting in October 2026 and supervised between IRCER-Limoges (France) and IMERYS-Vaulx-Milieu (France)

PhD07 aims to develop an advanced Computer-Assisted Microstructure Design tool capable of predicting and optimising the initiation, propagation and possible closure of microcracks in refractory materials subjected to severe thermal shock. The scientific ambition is not limited to reproducing damage in simplified academic microstructures: the objective is to build a modelling framework that can capture the behaviour of realistic industrial refractories, whose performance is governed by complex combinations of grains, interfaces, pores, pre-existing defects and strong local heterogeneities. In line with the overall REFFRACTEUR strategy, this work contributes to the Innovative Microstructure Design pillar of the project, where advanced characterisation and multiscale modelling are used to support the development of more durable, more reliable and more sustainable refractory solutions.

The numerical core of the project is based on the Discrete Element Method (DEM) (www.granoo.org) and more specifically on the improved Distinct Lattice Spring Model (iDLSM) developed and enriched in recent work carried out at IRCER and with Imerys. This family of models is especially relevant for refractory materials because it can explicitly represent crack nucleation, crack branching, crack propagation and discontinuous mechanical behaviour in heterogeneous brittle media, while preserving a strong link with continuum-level thermomechanical quantities. The PhD will build on recent advances concerning periodic boundary conditions, anisotropic thermal expansion at grain scale, and crack opening/closure management, which are essential for materials in which local crystallographic anisotropy or CTE mismatch drives high-temperature microcracking. The aim is therefore to move from DEM as a research tool toward a true virtual laboratory able to connect microstructural design choices with measurable effective properties.

A major objective is to account for the key physical mechanisms that control thermally induced damage in refractories under realistic service-relevant thermal histories, including heating, dwell and cooling stages, rather than considering only simplified mechanical loading. Particular attention will be given to the role of phase transitions, mechanical anisotropy, thermal expansion mismatch, interface behaviour and energy-based fracture criteria, since the literature clearly shows that these features strongly govern the formation of distributed microcrack networks and the resulting non-linear apparent response. The project will also seek to clarify how microstructural descriptors such as grain size, grain morphology, local orientation, porosity and crack topology affect the balance between damage accumulation and toughening, with the final goal of identifying design rules for improved thermal-shock resistance and durability.

Beyond pure model development, PhD07 is intended to deliver a methodology that is predictive, experimentally anchored and industrially usable. The numerical developments will therefore be confronted with experimental observables such as dilatometry, Young’s modulus evolution, tensile or fracture-related response, crack-network morphology and other thermomechanical indicators available from model and industrial refractory materials. In that sense, the project is designed not only to deepen the scientific understanding of microcrack-controlled behaviour, but also to provide engineers with a practical route to virtually test, compare and optimise candidate microstructures before manufacturing, thereby reducing empirical trial-and-error and accelerating the transfer of advanced design strategies towards industrial application.

The project is expected to deliver a calibrated and validated virtual laboratory able to generate representative refractory microstructures, simulate thermally induced microcrack formation, and quantify the consequences of this damage on the apparent behaviour of the material. More specifically, PhD07 should produce a DEM-based/iDLSM-based modelling framework capable of handling realistic three-dimensional microstructural features, thermomechanical coupling, anisotropic thermal expansion and explicit crack management. This virtual environment will make it possible to reproduce how microcrack networks appear, evolve and interact under thermal loading, and how they subsequently influence measurable macroscopic properties such as apparent coefficient of thermal expansion, Young’s modulus, tensile response, fracture-related behaviour and thermal-shock sensitivity.

A second expected result is a clearer and better quantified understanding of the microstructure-property relationships that control refractory performance. By systematically varying relevant descriptors within the numerical framework, the project should identify which features most strongly promote distributed microcracking, stress relaxation, non-linear mechanical response and enhanced resistance to thermal shock damage. Recent studies already indicate the importance of anisotropic grain behaviour, grain-boundary effects, pore/crack morphology and grain size on crack nucleation, crack density and damage dissipation. PhD07 is expected to extend these insights to refractory microstructures that are closer to industrial reality and to transform them into interpretable design guidelines. In practice, the work should help distinguish which microstructural configurations are beneficial because they dissipate energy and reduce critical thermal stress, and which are detrimental because they trigger premature localisation or unstable damage.

The final scientific output should therefore go beyond a single model or a single case study. The ambition is to provide a usable digital design tool: a robust numerical platform that can support parametric studies, material comparison and microstructure optimisation for thermal-shock-resistant refractories. Such a tool is expected to be valuable both for academic research and for industrial R&D, because it offers a way to screen hypotheses rapidly, interpret experimental observations more deeply, and prepare better targeted development strategies. In the context of REFFRACTEUR, this contributes directly to the broader objective of replacing empirical development practices with data-rich, model-supported and more transferable design approaches for next-generation refractory materials.

Lastly, PhD07 should produce methodological and scientific outputs with longer-term value for the consortium: validated workflows for microstructure digitalisation, numerical protocols for multiscale thermomechanical simulations, and reference results that can be reused in future work on digital twins, operational optimisation and materials design. The project should also generate publishable advances on DEM/iDLSM methodology itself, especially regarding the treatment of anisotropic thermal expansion, realistic crack-network evolution and the use of periodic boundary conditions in refractory modelling. In that respect, the expected results are both application-oriented and foundational, strengthening the modelling toolbox available to the European refractory community.

PhD07 is closely connected to the other materials-design projects in Work Package 2, especially PhD05, PhD06, PhD08 and PhD09. Its main contribution is to provide a predictive virtual laboratory able to translate experimental observations into physically based design rules for refractory microstructures. The DEM-based modelling developed in PhD07 will help interpret how grain architecture, porosity, interfaces and thermal-expansion mismatch control microcrack initiation, propagation and damage accumulation under thermal shock. In return, the materials data and thermomechanical results produced by the other WP2 PhDs will provide essential input for calibration and validation. This creates a strong feedback loop between formulation, characterisation and modelling, helping the consortium move from empirical development towards more rational and optimised refractory design.
PhD07 includes a targeted one-month secondment at the Chair of Ceramics, Technical University of Leoben, focused on assessing and refining energy-based criteria for microcrack nucleation and propagation in discrete-element simulations. This stay will provide direct interaction with complementary expertise in advanced ceramic modelling and fracture mechanics, helping to strengthen the physical basis of the virtual laboratory developed within the PhD.
Work contract timeline:

  • Period 1 – IRCER, Limoges, France (18 months)
  • Period 2 – IMERYS, Lyon, France (18 months)

Work location timeline:

  • Period 1 – IMERYS, Lyon, France (9 months)
  • Period 2 – IRCER, Limoges, France (18 months)
  • Period 3 – IMERYS, Lyon, France (9 months)
Applicants should hold, or be close to completing, a Master’s degree in Materials Science, Mechanical Engineering, Applied Mechanics, Computational Engineering, Physics, or a closely related field, with a strong interest in the thermomechanical behaviour of brittle and quasi-brittle materials. A solid background in numerical methods for mechanics is essential, especially where modelling, simulation and data interpretation are combined to understand complex material behaviour.

The ideal candidate should demonstrate a genuine motivation for working at the interface between materials science and computational modelling, with a particular interest in fracture, thermal shock, heterogeneous microstructures and high-temperature materials. Prior exposure to finite element methods, discrete-element methods, continuum mechanics, fracture mechanics, thermomechanics, or microstructure-based modelling will be highly valued. Some familiarity with experimental characterisation of materials would also be an asset, as the project requires regular interaction between modelling results and experimental validation.

Strong programming and data-processing skills are expected, ideally including experience with Python, C++, MATLAB or equivalent scientific computing environments. The successful applicant should be comfortable handling complex problems in a rigorous and structured way, and should be capable of developing, testing and interpreting numerical workflows with a high level of scientific autonomy.

Because PhD07 is part of an MSCA Industrial Doctorate, the candidate must also be ready to work in both academic and industrial environments, to interact with supervisors and doctoral candidates from different disciplines, and to communicate efficiently in an international context. Excellent written and spoken English, strong teamwork abilities, scientific curiosity, and a proactive attitude towards interdisciplinary research are therefore essential.

Some examples of recent publications:

  1. Andreev, K., Yin, Y., Luchini, B. and Sabirov, I. (2021) ‘Failure of refractory masonry material under monotonic and cyclic loading: Crack propagation analysis’, Construction and Building Materials, 299, article 124203. Available at: https://doi.org/10.1016/j.conbuildmat.2021.124203.
  2. Grigoriev, A.S., Zabolotskiy, A.V., Shilko, E.V., Dmitriev, A.I. and Andreev, K. (2021) ‘Analysis of the quasi-static and dynamic fracture of the silica refractory using the mesoscale discrete element modelling’, Materials, 14(23), article 7376. Available at: https://doi.org/10.3390/ma14237376.
  3. Ranganathan, H., André, D., Mouiya, M., Huger, M., Soth, R. and Wöhrmeyer, C. (2025) ‘A multiscale discrete element thermomechanical modeling approach of microcracking generated at high temperature by anisotropic thermal expansion in an elastic brittle polycrystalline ceramic material’, Engineering Fracture Mechanics, 320, article 111088. Available at: https://doi.org/10.1016/j.engfracmech.2025.111088.
  4. Gong, Z., Guan, K., Rao, P., Zeng, Q., Liu, J. and Feng, Z. (2021) ‘Numerical study of thermal shock damage mechanism of polycrystalline ceramics’, Frontiers in Materials, 8, article 724377. Available at: https://doi.org/10.3389/fmats.2021.724377.
  5. Longchamp, V., Girardot, J., André, D., Malaise, F., Quet, A., Carles, P. and Iordanoff, I. (2024) ‘Discrete 3D modeling of porous-cracked ceramic at the microstructure scale’, Journal of the European Ceramic Society, 44(4), pp. 2522–2536. Available at: https://doi.org/10.1016/j.jeurceramsoc.2023.11.026.

Some examples of recent PhD manuscripts:

  1. Asadi, F. (2021) ‘Micro-mechanical modelling of heterogeneous materials containing microcracks with Discrete Element Method (DEM)’ http://www.theses.fr/2021LIMO0046/document
  2. Ranganathan, H. (2026) ‘Discrete element modelling to refine heterogeneous refractory microstructure for enhancing thermomechanical properties governed by CTE mismatch induced microcracking’ https://ircertmc-my.sharepoint.com/:b:/g/personal/marc_huger_ircer-tmc_com/IQD14baoXS-ZSJ52OPyfjEU0AV75Nbyp3Q33NjLeRPPj8Fg?e=SfjH5f

Full package of relevant publications – https://ircertmc-my.sharepoint.com/:f:/g/personal/marc_huger_ircer-tmc_com/IgAAbX2QY83IQrw5vrBs4DXeAV6d8S9bG3MKNTl8pAhg1tg?e=vW0LRq


PhD 08 - Investigation of the structural spalling and thermal fatigue of alumina-spinel refractory castables

A 36 Months PhD starting in October 2026 and supervised between FGF and IMERYS-Vaulx-Milieu (France) 

PhD08 will develop refractory alumina-spinel castable systems with improved performance when exposed to severe operating conditions by using engineered refractory aggregates with controlled properties. To this end, quantitative correlations between microstructure and thermal-shock resistance (TSR) in alumina–spinel castables are to be established using practice-oriented testing methods (thermal shock cycling at high temperature) and the ATHORNA device (monitoring the crack propagation during thermal shocks). The parameters that most strongly govern spalling under severe thermal cycling (including specimens exposed to corrosive media) will be identified and used to calibrate finite element models.
The project will produce quantitative relationships between microstructural features and thermal-shock behaviour, validated finite element models of spalling and fatigue, and recommendations for improved formulations as well as more representative testing protocols to assess the thermal shock resistance of refractory under service conditions.
PhD08 interacts closely with PhD07, PhD09 and PhD10. Its experimental work on thermal shock, spalling and fatigue complements the discrete-element and finite-element modelling activities, while also providing insight that can be transferred to other refractory systems, including ceramic shell moulds for investment casting.
  • Short stay (1 week) at IRCER / CNRS to perform thermal-shock resistance measurements with the ATHORNA device and complementary microstructural investigations using high-temperature ultrasonic and acoustic-emission techniques.
  • Secondment period (1 month) at the Chair of Ceramics, Technical University of Leoben to perform mechanical testing, including fracture energy and creep resistance measurements, and to support finite element modelling.
Work contract timeline:

  • Period 1 – FGF, Höhr-Grenzhausen, Koblenz area, Germany (18 months)
  • Period 2 – IMERYS, Vaulx-Milieu, Lyon area, France (18 months)

Work location timeline:

  • Period 1 – FGF, Höhr-Grenzhausen, Koblenz area, Germany (18 months)
  • Period 2 – IMERYS, Vaulx-Milieu, Lyon area, France (18 months)
Master’s level in Materials Science, Geosciences, or Mineralogy. Candidates should have strong experimental and analytical skills in mineralogy and/or material science. A solid background in microstructure evaluation and thermomechanical analysis is expected. Excellent oral and written communication skills in English are required. Experience with laboratory techniques and numerical simulation is a plus.
Some examples of recent publications:

  • Cannio, M., Boccaccini, D.N. and Romagnoli, M. (2014) ‘New methods for the assessment of thermal shock resistance in refractory materials’, in Hetnarski, R.B. (ed.) Encyclopedia of Thermal Stresses. Dordrecht: Springer, pp. 3293–3307. Available at: https://doi.org/10.1007/978-94-007-2739-7_34
  • Kaczmarek, R., Teixeira, L., Mouiya, M., Dupré, J.-C., Doumalin, P., Pop, O., Tessier-Doyen, N. and Huger, M. (2025) ‘Study of thermomechanical behaviour of refractory materials under thermal gradient. Part II—Experimental and numerical analysis on the example of a shaped alumina spinel refractory’, Experimental Mechanics, 65, pp. 351–364. Available at: https://link.springer.com/article/10.1007/s11340-024-01116-1
  • Loison, L., Sassi, M., Tonnesen, T., de Bilbao, E., Telle, R. and Poirier, J. (2020) ‘Differences in the corrosive spalling behavior of alumina-rich castables: Microstructural and crystallographic considerations of alumina and calcium aluminate matrices’, Ceramics, 3(2), pp. 223–234. Available at: https://doi.org/10.3390/ceramics3020020

PhD 09 - In situ multi-physics characterisation and modelling of refractory materials under severe thermal gradients

A 36 Months PhD starting in October 2026 and supervised between IRCER-Limoges (France) and CERAQUITAINE (France)

PhD09 aims to establish a rigorous scientific framework for understanding how the microstructure of industrial refractory materials controls their macroscopic thermophysical and thermomechanical properties, and how these properties in turn govern their behaviour under severe thermal gradients representative of service conditions. The project is therefore built around a clear multiscale logic: phase assemblage, inclusions, porosity and diffuse microcracking must first be related to measurable macroscopic properties, and these macroscopic descriptors must then be connected to the thermomechanical response observed under controlled thermal loading on the ATHORNA platform.

A first major objective is to characterise the macroscopic properties that are most relevant for interpreting thermal-shock-related behaviour. These include the dilatometric behaviour, which provides essential information on thermal expansion, mismatch effects and phase-related dimensional changes; the evolution of Young’s modulus measured through resonant frequency and damping analysis, now strongly reinforced by the recent LDV-based RFDA developments; and high-temperature acoustic emission, which provides complementary information on the onset and progression of damage events during thermal cycling. The recent RFDA work is particularly important because it demonstrates that elastic modulus evolution and damping trends can be followed robustly even through complex microstructural events, thereby offering a direct macroscopic signature of transformations such as phase change, reactive sintering, liquid phase formation or microcrack development.

A second objective is to connect these macroscopic thermophysical and thermoelastic descriptors with the macroscopic mechanical behaviour of the investigated materials. Depending on the material family, this includes the analysis of fracture resistance through wedge splitting approaches and, where relevant, tensile behaviour. The key point is that thermal-shock resistance cannot be reduced to one isolated parameter. It must instead be interpreted through the combined roles of stiffness, thermal expansion behaviour, damage sensitivity, fracture energy and the ability of the microstructure to accommodate thermally induced stress without catastrophic cracking. This is consistent with previous refractory studies showing that diffuse microcracking, evolving elastic properties and fracture-related indicators are central to understanding thermomechanical performance.

A third objective is to exploit the structured material families supplied by CERAQUITAINE in order to isolate major scientific variables in a controlled way. These include thermal conductivity effects, the role of cordierite versus indialite-type phase constitution, the influence of the MgO source on microstructure and deformability, and the role of inclusions through variations in chemistry, amount and size. This makes it possible to study not simply “different products”, but a set of industrial materials deliberately organised to reveal meaningful relations between microstructure, macroscopic properties and response to thermal gradients.

Finally, PhD09 aims to integrate all these complementary measurements within the ATHORNA framework. ATHORNA is not intended as a substitute for conventional high-temperature characterisation, but as the place where the real significance of those macroscopic properties becomes visible under severe thermal gradients. By combining prior knowledge from dilatometry, RFDA, acoustic emission and mechanical testing with in situ measurements of temperature, displacement, strain localisation and damage evolution, the project will build a coherent bridge between microstructure, macroscopic behaviour and realistic thermal-shock monitoring on large samples. This should also provide a robust basis for validating advanced numerical modelling approaches.

The first expected result of PhD09 is a clearer and much more quantitative understanding of the chain linking refractory microstructure to behaviour under severe thermal gradients through an intermediate level of macroscopic properties. The project is expected to show how phase constitution, porosity, inclusions and diffuse microcrack networks influence measurable quantities such as thermal expansion behaviour, Young’s modulus evolution, damping response, damage sensitivity, tensile response when relevant, and fracture resistance. The aim is therefore not simply to generate isolated datasets, but to establish a coherent scientific interpretation of how microstructure governs macroscopic behaviour and how macroscopic behaviour governs the response under thermal-shock-like loading.

A second expected result is the creation of an advanced and internally consistent experimental dataset combining conventional characterisation tools with in situ ATHORNA monitoring. On one side, the project should provide reference data from dilatometry, resonant frequency and damping analysis, high-temperature acoustic emission and selected mechanical tests such as wedge splitting and, where relevant, tensile testing. On the other side, ATHORNA should provide in situ temperature fields, displacement fields, strain localisation and damage evolution under severe thermal gradients. The real added value is expected to come from the combined interpretation of these datasets: PhD09 should explain not only what happens during the applied thermal loading, but why it happens in light of previously measured macroscopic properties.

A third expected result is the identification of material-dependent thermomechanical signatures across the different CERAQUITAINE series. Some materials may prove favourable because of low thermal expansion or reduced mismatch stresses; others because of more advantageous stiffness evolution with temperature; others because damping and acoustic-emission signatures reveal mechanisms of stress accommodation before major crack extension; and others because fracture-energy-related behaviour provides a better tolerance to thermally induced damage. The recent RFDA paper is especially useful here because it shows that modulus evolution and damping behaviour can serve as highly informative macroscopic indicators of underlying transformations and evolving material state. This reinforces the idea that thermal-shock behaviour must be interpreted through a combination of properties rather than through a single ranking criterion.

A fourth expected result is methodological. PhD09 should define a transferable workflow for combining macroscopic high-temperature characterisation and in situ multi-physics thermal-gradient testing. In practice, this means identifying which properties should be measured first, how they should be used to interpret ATHORNA observations, and how the whole dataset can support physically meaningful comparison between refractory formulations. Such a workflow would have value well beyond this single PhD project, because it would help connect standard laboratory characterisation to service-relevant thermal-gradient conditions on large samples.

Finally, the project is expected to deliver robust validation data for advanced modelling. Because ATHORNA provides transient thermal and kinematic fields, while the complementary measurements quantify thermal expansion behaviour, stiffness evolution, damping-sensitive microstructural changes, damage signatures and fracture-related properties, the resulting dataset should strongly improve the validation of non-linear FEM approaches and other microstructure-informed modelling strategies. The final outcome should therefore be both scientific and operational: a better understanding of the relations between microstructure, macroscopic properties and thermal-shock response, and a stronger basis for predictive tools that can assist refractory design and industrial decision-making.

PhD09 is positioned at a key interface within REFFRACTEUR, linking advanced experimental characterisation, materials design and predictive modelling. Its strongest interactions are with PhD08 and PhD10, as all three projects address refractory behaviour under severe thermal gradients and thermal shock from complementary perspectives. PhD09 will provide unique in situ multi-physics datasets on large samples, combining temperature, displacement, strain localisation and damage monitoring under controlled thermal loading. These results will directly support the validation and refinement of the modelling strategies developed in PhD08, while also strengthening the interpretation of application-oriented investigations in PhD10. More broadly, PhD09 contributes to the REFFRACTEUR ambition of connecting microstructure, macroscopic properties and service-relevant behaviour, thereby creating a stronger bridge between advanced laboratory measurements, numerical tools and industrial performance assessment.
PhD09 includes targeted short stays designed to strengthen the link between advanced laboratory characterisation, practice-oriented testing and real industrial service conditions.

  • A first short stay at Forschungs-Gemeinschaft Feuerfest (FGF, Germany) will allow the Doctoral Candidate to compare ATHORNA-based investigations with complementary thermal-shock testing approaches developed in a practice-oriented refractory environment. This will broaden the experimental perspective of the PhD and provide useful benchmarking for the interpretation of severe thermal-gradient effects.
  • A second short stay with an industrial client of CERAQUITAINE will expose the Doctoral Candidate to refractory components in real operating conditions, making it possible to better relate laboratory observations to industrial constraints, damage scenarios and application-driven performance requirements.

Together, these short stays will reinforce the translational dimension of the project and support a stronger connection between macroscopic characterisation, in situ monitoring and industrial relevance.

Work contract timeline:

  • Period 1 – CERAQUITAINE, Saint-Aulaye, France (9 months)
  • Period 2 – IRCER, Limoges, France (18 months)
  • Period 3 – CERAQUITAINE, Saint-Aulaye, France (9 months)

Work location timeline:

  • Period 1 – CERAQUITAINE, Saint-Aulaye, France (9 months)
  • Period 2 – IRCER, Limoges, France (18 months)
  • Period 3 – CERAQUITAINE, Saint-Aulaye, France (9 months)
PhD09 is ideally suited to highly motivated applicants with a strong academic background in Materials Science, Ceramic Science, Mechanical Engineering, Experimental Physics or a closely related discipline at Master’s level. Candidates should have a solid understanding of the relationships between microstructure, thermophysical properties and mechanical behaviour in heterogeneous materials, with a particular interest in high-temperature materials and advanced experimental characterisation. Prior experience with ceramic materials, refractories, thermal analysis, dilatometry, resonant frequency methods, Digital Image Correlation, acoustic techniques or related thermomechanical testing would be particularly valuable.

The position is especially appropriate for applicants who enjoy combining experimental work, physical interpretation and data analysis, and who are interested in linking macroscopic measurements to underlying microstructural mechanisms. An appetite for instrumentation development, careful experimental practice and scientifically rigorous interpretation will be important assets. Knowledge of numerical approaches such as FEM would be advantageous, although it is not an absolute requirement.

Because REFFRACTEUR is an Industrial Doctoral Network, the successful candidate should also be comfortable working across both academic and industrial environments, with a strong capacity for autonomy, teamwork and clear communication in English. The project will particularly suit candidates who wish to develop an interdisciplinary profile at the interface between advanced materials characterisation, refractory engineering and modelling, while contributing to more sustainable and better-performing high-temperature industrial systems.

Some examples of recent publications:

  1. Kaczmarek, R., De Oliveira, R., Lalau, Y., Goum, G., Khlifi, I., Dupré, J.‑C., Doumalin, P., Pop, O., Tessier‑Doyen, N., Huger, M., ’Study of thermomechanical behaviour of refractory materials under thermal gradient. Part  I –Presentation of ATHORNA device and experimental protocol’, Exp Mech 65, 2025, 123-140.  https://doi.org/10.1007/s11340-024-01126-1
  2. Kaczmarek, R., Teixeira, L., Mouiya, M., Dupré, J.‑C., Doumalin, P., Pop, O., Tessier‑Doyen, N., Huger, M., ’Study of thermomechanical behaviour of refractory materials under thermal gradient. Part II – Experimental and numerical analysis on the example of a shaped alumina spinel refractory’, Exp Mech 65, 2025, 351-364,. https://doi.org/10.1007/s11340-024-01142-1
  3. Chotard, T., Soro, J., Lemercier, H., Huger, M., Gault, C., ‘High temperature characterisation of cordierite-mullite refractory by ultrasonic means’, Journal of the European Ceramic Society, 28 (11), 2008, 2129-2135,  https://doi.org/10.1016/j.jeurceramsoc.2008.02.029
  4. Mouiya, M., Tessier-Doyen, N., Tamraoui, Y., Gruber, D., Dupré, JC., Doumalin, P., Alami, J., Huger, M., ‘Engineered microcracking in alumina/aluminum titanate composites: A pathway to enhance nonlinear mechanical behavior and fracture energy’, Journal of the European Ceramic Society, 46(5), 2026, 118046, https://doi.org/10.1016/j.jeurceramsoc.2025.118046
  5. Salerno, A., Boateng, K., Auvray, J.M., Leplay, P., Bigeard, A., Sauer, J., Bollen, B., Huger, M., ‘Improving resonant frequency and damping analysis at high temperatures via laser Doppler vibrometer sensor’, Measurement Science and Technology, 36, (2025), 126004, https://doi.org/10.1088/1361-6501/ae1d99


Some examples of recent PhD manuscripts:

  1. Tessier-Doyen, N. (2003) ‘Etude expérimentale et numérique du comportement thermomécanique de matériaux réfractaires modèleshttps://cdn.unilim.fr/files/theses-doctorat/2003LIMO0030.pdf
  2. Ghassemi-Kakroudi, M. (2007) ‘Comportement thermomécanique en traction de bétons réfractaires : influence de la nature des agrégats et de l’histoire thermiquehttps://ircertmc-my.sharepoint.com/:b:/g/personal/marc_huger_ircer-tmc_com/IQByMOCwffAgR7AIqr-EkV0DAUbRG9a2G-LOWQbtRoyYE5Q?e=OFfdTT
  3. Grasset-Bourdel, R., (2011) ‘Structure/property relations of magnesia-spinel refractories: experimental determination and simulation’ https://cdn.unilim.fr/files/theses-doctorat/2011LIMO4050.pdf
  4. Mouiya, M. (2024) ‘Thermomechanical properties of refractory materials, influence of the diffuse microcracking’ https://ircertmc-my.sharepoint.com/:b:/g/personal/marc_huger_ircer-tmc_com/IQCuRuUAxEuJTbLkQRoAbTVsAbzqe8PCiNorGaianFL83uk?e=4kanFD

Full package of relevant publications – https://ircertmc-my.sharepoint.com/:f:/g/personal/marc_huger_ircer-tmc_com/IgDpsMEy44n0TLMEl1Ddlgs4AUeLD3JPewCGIzE0G3TxQYY?e=MGPb7d


PhD 10 - Advanced ceramic shell architectures for investment casting of turbine blades - Design for thermal shock resistance

A 36 Months PhD starting in October 2026 and supervised between IRCER-Limoges (France) and SAFRAN-Colombes (France)

PhD10 aims to develop a scientifically grounded and industrially transferable design framework for advanced ceramic shell moulds used in the investment casting of turbine blades, with a particular focus on thermal-shock resistance, crack prevention, dimensional stability and process acceleration. The project addresses a major challenge in aeronautical investment casting: ceramic shells are simultaneously required to withstand rapid thermal transients, preserve dimensional accuracy in highly complex blade geometries, and remain sufficiently permeable and compliant to support reliable filling, solidification and processing. In practice, shell failure is governed not by a single material property, but by the interaction between shell composition, microstructure, porosity, thermal-property evolution, local shell thickness, corner geometry, and thermo-mechanical loading during heating and pouring.

The first objective is therefore to establish quantitative links between shell microstructure and thermo-mechanical behaviour. The project will examine how ceramic shell systems used for turbine blades respond to severe thermal loading, taking into account that their thermal conductivity and heat capacity are strongly temperature-dependent and influenced by porosity, processing history and phase transformations during firing and pouring. This is essential because realistic thermal properties are needed to predict heat transfer, shell temperature gradients and stress development with sufficient accuracy. The work will therefore combine material characterisation with process-relevant thermal data in order to better understand how thermal transport and heat storage contribute to damage initiation and casting precision.

A second objective is to identify the critical geometric and architectural features that make turbine-blade shell moulds vulnerable to damage. Recent studies show that shell cracking and deformation are strongly influenced by non-uniform thickness distribution, sharp corners, freeform blade geometry and local stress concentrations, with the most critical regions often located near edges, fins, blade-tip zones or other geometrically constrained areas. PhD10 will therefore investigate not only the intrinsic behaviour of shell materials, but also the role of cluster design, shell architecture and support conditions, including their influence on dimensional deviation and susceptibility to crack initiation. This objective is especially relevant for industrial turbine-blade casting, where geometric complexity and productivity requirements make empirical trial-and-error approaches insufficient.

A third objective is to build and validate a predictive thermo-mechanical modelling strategy for ceramic shells under realistic processing conditions. The project will combine in situ or process-representative experiments, high-temperature characterisation and finite element modelling in order to determine how thermal gradients, shell-property evolution and mechanical restraint interact to produce local stresses, deformation and macrocracking. In this context, concepts from stress-based structural design and stress-constrained optimisation are particularly relevant, because shell failure is driven primarily by local excessive stresses rather than by stiffness criteria alone. The ambition is therefore not only to describe shell behaviour, but to move towards design rules that explicitly integrate stress limitation, thermal loading and architecture-dependent performance.

Overall, PhD10 seeks to deliver a robust methodology for the design of next-generation ceramic shell moulds for turbine blades, capable of supporting faster and more reliable industrial processing. By combining materials science, casting science and advanced numerical modelling in the joint IRCER-SAFRAN environment, the project will provide the doctoral candidate with a strong interdisciplinary foundation while generating knowledge directly relevant to high-value aeronautical manufacturing.

PhD10 is expected to deliver a significant advance in the understanding and optimisation of ceramic shell moulds for the investment casting of turbine blades, both at the scientific level and in terms of industrial applicability. A first major result will be the identification of the governing parameters that control crack initiation and shell deformation under severe thermal loading. This includes the determination of how temperature-dependent thermal properties, porosity, shell thickness distribution, local curvature, corner geometry and thermo-mechanical restraint combine to generate critical stresses in the shell. The project should therefore clarify why some apparently robust shell systems fail locally in practice, and why specific blade regions are recurrently associated with cracking, distortion or dimensional inconsistency.

A second expected result is the establishment of validated relationships between shell composition, shell architecture and functional casting performance. In practical terms, the work should provide improved understanding of how to balance the key trade-offs between thermal conductivity, heat capacity, permeability, mechanical strength, compliance and surface quality. Because recent work has shown that both shell material and shell-building conditions significantly affect thermal transport and stress development, PhD10 should generate recommendations on the most relevant combinations of material system and architectural design for turbine-blade applications. It is also expected to clarify the role of thickness heterogeneity and local structural weakness in corners and edges, where stress concentration and reduced shell thickness often combine to trigger damage.

A third major outcome will be a predictive multi-scale modelling framework linking shell material data, geometric descriptors and thermo-mechanical simulation. This framework should make it possible to compute more realistic stress fields in turbine-blade shell moulds, compare alternative shell or cluster architectures, and identify dangerous regions before industrial trials. Importantly, the project is expected to go beyond descriptive simulation by introducing a more stress-based design logic, in which the shell is assessed according to explicit criteria related to local failure risk rather than global stiffness alone. Such an approach is especially relevant in thermal structures, where excessive local stresses are often the primary failure mode. The expected result is therefore a set of modelling tools and design rules that can support both scientific interpretation and industrial decision-making.

Finally, PhD10 should deliver concrete outputs of direct value for SAFRAN and for the wider investment-casting community: improved criteria for shell design, better prediction of macrocracking and dimensional deviation, and a stronger basis for process optimisation in turbine-blade manufacturing. The project is also expected to contribute to publications, conference presentations and the broader REFFRACTEUR knowledge base. For candidates, this means that the PhD will not only address fundamental questions in ceramic thermo-mechanics and shell design, but will also contribute to practical solutions for the more reliable, precise and efficient production of advanced aerospace castings.

PhD10 is strongly connected with PhD08 and PhD09, as all three projects address the thermo-mechanical behaviour of refractory or ceramic systems exposed to severe thermal gradients and crack-promoting conditions. While PhD08 and PhD09 focus on more generic questions related to thermal-shock resistance, damage development and predictive modelling in refractory materials, PhD10 transfers and extends these concepts to the highly specific and industrially demanding case of ceramic shell moulds for turbine-blade investment casting. The interaction will therefore concern both experimental methodologies and modelling strategies, including crack initiation criteria, stress analysis, microstructure-property relationships and the identification of robust design rules. This cross-fertilisation will strengthen the scientific coherence of the network while broadening its industrial relevance towards advanced aeronautical manufacturing.
PhD10 includes two highly complementary short stays designed to strengthen both the experimental and modelling dimensions of the project.

  • A first short stay at FGF will provide access to application-oriented thermal-shock testing facilities, allowing the doctoral candidate to assess shell behaviour under severe thermal transients and to compare laboratory observations with industrially relevant loading conditions.
  • A second short stay at the Chair of Ceramics, Technical University of Leoben, will focus on mechanical characterisation and modelling support, including measurements related to fracture behaviour, creep resistance and thermo-mechanical response.

Together, these stays will help the candidate connect microstructural design, high-temperature performance and predictive simulation, while also encouraging scientific exchange with other REFFRACTEUR projects working on crack development, thermal-shock resistance and refractory design.

Work contract timeline:

  • Period 1 – SAFRAN, Colombes, France (18 months)
  • Period 2 – IRCER, Limoges, France (18 months)

Work location timeline:

  • Period 1 – SAFRAN, Colombes, France (9 months)
  • Period 2 – IRCER, Limoges, France (18 months)
  • Period 3 – SAFRAN, Colombes, France (9 months)
PhD10 is intended for highly motivated candidates with a strong academic background in Materials Science, Mechanical Engineering, Computational Mechanics, or a closely related discipline, ideally at Master’s level. The project is particularly well suited to applicants who wish to work at the interface between ceramic materials, high-temperature thermo-mechanics, investment casting, and advanced numerical simulation. A solid understanding of continuum mechanics, heat transfer, stress analysis and fracture-related phenomena is expected, together with a clear interest in how processing, microstructure and geometry interact to control the behaviour of complex ceramic shell systems under severe thermal loading.

Candidates should demonstrate good skills in numerical methods, especially finite element approaches applied to thermo-mechanical problems. Experience with software such as Abaqus or comparable simulation tools would be a strong advantage. At the same time, the position is not purely computational: an interest in experimental characterisation, materials processing and the interpretation of high-temperature test results is also important. Previous exposure to ceramics, refractories, casting processes, damage mechanics or multi-physics modelling would be appreciated, although an excellent candidate with a strong and transferable mechanics background may also fit very well.

Because the project is carried out jointly between IRCER and SAFRAN, the successful applicant should be comfortable working in an interdisciplinary and intersectoral environment, interacting with both academic researchers and industrial engineers. Strong oral and written communication skills in English, scientific curiosity, autonomy, rigour, and the ability to engage with complex technical questions are essential. The candidate should also be willing to contribute actively to the collaborative spirit of the REFFRACTEUR network and to benefit from its broader training in modelling, materials design and industrial innovation.

Some examples of recent publications:

  1. Tu, J.S., Foran, R.K., Hines, A.M. and Aimone, P.R. (1995) ‘An integrated procedure for modeling investment castings’, JOM, 47(10), pp. 64–68. Available at: https://doi.org/10.1007/BF03221290.
  2. Greco, C.S., Paolillo, G., Contino, M., Caramiello, C., Di Foggia, M. and Cardone, G. (2020) ‘3D temperature mapping of a ceramic shell mould in investment casting process via infrared thermography’, Quantitative InfraRed Thermography Journal, 17(1), pp. 40–62. Available at: https://doi.org/10.1080/17686733.2019.1608083.
  3. Xu, M., Lekakh, S.N. and Von Richards, L. (2016) ‘Thermal property database for investment casting shells’, International Journal of Metalcasting, 10(3), pp. 342–347. Available at: https://doi.org/10.1007/s40962-016-0052-4.
  4. Yang, S. and Leu, M.C. (1999) ‘Analysis of shell cracking in investment casting with laser stereolithography patterns’, Rapid Prototyping Journal, 5(1), pp. 12–20. Available at: https://doi.org/10.1108/13552549910251837.
  5. Chen, X., Li, D., Wu, H., Tang, Y. and Zhao, L. (2011) ‘Analysis of ceramic shell cracking in stereolithography-based rapid casting of turbine blade’, The International Journal of Advanced Manufacturing Technology, 55(5–8), pp. 447–455. Available at: https://doi.org/10.1007/s00170-010-3064-x.
  6. Deaton, J.D. and Grandhi, R.V. (2016) ‘Stress-based design of thermal structures via topology optimization’, Structural and Multidisciplinary Optimization, 53(2), pp. 253–270. Available at: https://doi.org/10.1007/s00158-015-1331-z.
  7. Behera, M.M., Pattnaik, S. and Sutar, M.K. (2019) ‘Thermo-mechanical analysis of investment casting ceramic shell: A case study’, Measurement, 147, article 106805. Available at: https://doi.org/10.1016/j.measurement.2019.07.033.
  8. Everhart, W.A. (2011) Crack formation in investment casting ceramic shells. Master’s thesis. Missouri University of Science and Technology. Available at: https://scholarsmine.mst.edu/masters_theses/4475.

Full package of relevant publications – https://ircertmc-my.sharepoint.com/:f:/g/personal/marc_huger_ircer-tmc_com/IgCtIjEjoVeSSKducSUnRwmYAd7uYToXTcAziygsJ-Zg7xM?e=cFKQhB


PhD 11 - Thermo-hygral-mechanical modelling and optimisation of dry-out and early-age behaviour in castable refractory linings

A 36 Months PhD starting in October 2026 and supervised between UMINHO (Portugal) and RHIM-Leoben (Austria)

PhD11 will develop and validate a thermo-hygro-mechanical finite element modelling framework for the dry-out of castable ladle linings, comparing natural and accelerated drying schedules. The project will instrument laboratory specimens, a biaxial press and a pilot ladle to monitor moisture transport, temperature and internal stress. It will model damage caused by pore pressure, early-age creep and microcracking, and assess how these phenomena influence later corrosion and degradation.
The project will deliver validated dry-out models, instrumented experimental datasets and guidance on the trade-off between energy consumption, process duration and durability. It will also compare the dry-out behaviour of castable and brick lining concepts under equivalent conditions.
PhD11 is closely connected to PhD06, PhD14 and PhD15. Its thermo-hygro-mechanical modelling of dry-out and early-age behaviour provides inputs for digital twin development and operational decision support, while also benefiting from materials knowledge on binder systems and castable design. Its results are also relevant for sustainability and traceability by contributing drying-phase performance indicators.
  • Secondment period (6 months) at Tata Steel to develop and carry out experimental campaigns on the three-dimensional pilot ladle, with a focus on the dry-out and early-age behaviour of castable linings.
Work contract timeline:

  • Period 1 – UMINHO, Guimarães, Portugal (18 months)
  • Period 2 – RHIM, Leoben, Austria (18 months)

Work location timeline:

  • Period 1 – UMINHO, Guimarães, Portugal (18 months)
  • Period 2 – RHIM, Leoben, Austria (18 months)
Master’s level in Engineering or similar field. Candidates should have strong understanding of constitutive modelling and numerical skills in multiphysics environments. A solid background in programming in object-oriented languages such as python or others. Excellent oral and written communication skills in English are required.
Some examples of recent publications:

  • Kudžma, A., Antonovič, V., Stonys, R. and Gribniak, V. (2025) ‘Refractory castables cured at low temperatures—Spalling risks and testing’, Case Studies in Construction Materials, 22, article e04701. Available at: https://doi.org/10.1016/j.cscm.2025.e04701.
  • Sun, L., Ding, D., Xiao, G., Chen, J., Li, Y., Kang, J., Chong, X., Lei, C., Luo, J. and Zheng, X. (2023) ‘Gas permeability of alumina-spinel refractory castables bonded with hydratable magnesium carboxylate’, Journal of the American Ceramic Society, 106(12), pp. 7618–7631. Available at: https://doi.org/10.1111/jace.19363.
  • Juárez Trujillo, J., Castro, J.A., Innocentini, M.D.M. and Vernilli, F. (2023) ‘Combined transient 3D simulation and experimental methods to assess a slow heat-up curve used to dry a refractory concrete’, International Journal of Thermal Sciences, 185, article 108063. Available at: https://doi.org/10.1016/j.ijthermalsci.2022.108063.
  • Sciumè, G., Moreira, M.H. and Dal Pont, S. (2024) ‘Thermo-hygro-chemical model of concrete: from curing to high temperature behavior’, Materials and Structures, 57, article 186. Available at: https://doi.org/10.1617/s11527-024-02454-3.
  • Dal Pont, S., Sciumè, G. and Moreira, M.H. (2025) ‘From curing to fire accident: A novel, comprehensive model for concrete’s fire resistance’, in Pichler, B.L.A., Hellmich, Ch. and Preinstorfer, P. (eds.) Proceedings of the 12th International Conference on Fracture Mechanics of Concrete and Concrete Structures (FraMCoS XII), Vienna, Austria. Available at: https://doi.org/10.21012/FC12.1153.
  • Sardelli, J.A.P., Borges, O.H., Pagliosa Neto, C. and Pandolfelli, V.C. (2023) ‘Is the in-situ ZnAl2O4 formation an alternative for magnesia-alumina spinel zero-carbon shaped refractories?’, Ceramics International, 49(17, Part B), pp. 28643–28650. Available at: https://doi.org/10.1016/j.ceramint.2023.06.119.
  • Schnabel, M., Buhr, A., Exenberger, R. and Rampitsch, C. (2010) ‘Spinel: In situ versus preformed – Clearing the myth’, refractories WORLDFORUM, 2(2), pp. 87–93. Available at: https://www.almatis.com/sites/default/files/technical_papers/media/ixvb5jn2/spinel-in-situ-versus-preformed-clearing-the-myth.pdf.

PhD 12 - Advanced creep characterisation for accurate thermomechanical lining simulations

A 36 Months PhD starting in October 2026 and supervised between Technical University of Leoben and TATASTEEL-IJmuiden (Netherlands)

PhD12 will establish reliable methods for characterising and identifying creep behaviour in refractory castables under realistic thermal and mechanical loading. The project will combine pilot ladle trials, biaxial press testing and advanced laboratory methods, and it will go beyond standard constitutive laws when necessary. Special attention will be given to temperature dependence, strain recovery and the reduction of interpolation errors in creep models.
The project will deliver robust creep characterisation data, validated constitutive laws and guidance for more credible finite element simulations and digital twin applications. These results will support improved lining design and maintenance planning.
PhD12 interacts directly with PhD13 and PhD14, since the creep laws and thermomechanical parameters it identifies are essential for finite element wear modelling and for the physics-based core of the digital twin. It also complements PhD11 by contributing to a better understanding of refractory behaviour under realistic thermal and mechanical cycles.
  • Short stay (2 weeks) at RHI Magnesita to perform biaxial press tests.
  • Secondment period (18 months) at Tata Steel to validate creep models against plant observations and measurements under realistic operating conditions.
  • Secondment period (2 months) at the University of Orléans to support the development of advanced creep models.
Work contract timeline:

  • TUL, Leoben, Austria (36 months)

Work location timeline:

  • Period 1 – TATA Steel IJmuiden, the Netherlands (18 months)
  • Period 2 – TUL, Leoben, Austria (18 months)
Master’s level in Materials Science and/or Computational Methods in Mechanical Engineering. Masters level background in materials science, ceramics or mechanical engineering with skills in mechanical characterisation of refractories and FE-simulation is advantageous. Oral and written communication skills (English) are a prerequisite. This PhD will have one contract for the full 36 months from the Technical University of Leoben. As the PhD will be employed in Austria, the mobility rule applies to Austria not The Netherlands (even though this will be the initial location for this PhD). This means that candidates must not have resided or carried out their main activity (work, studies, etc.) in Austria for more than 12 months in the 3 years immediately before recruitment. Short stays and holidays do not count.
Some examples of recent publications:

  • Akbari, B., Gruber, D., Jin, S. and Harmuth, H. (2023) ‘Creep strain recovery of an in situ spinel-forming refractory castable under loading/unloading compressive creep conditions’, Ceramics International, 49(15), pp. 25225–25231. Available at: https://doi.org/10.1016/j.ceramint.2023.05.055.
  • Schachner, S., Jin, S., Gruber, D. and Harmuth, H. (2019) ‘Three stage creep behavior of MgO containing ordinary refractories in tension and compression’, Ceramics International, 45(7), pp. 9483–9490. Available at: https://doi.org/10.1016/j.ceramint.2018.09.124.
  • Gajjar, P.N., Put, P., Pereira, J.M., Luchini, B., Sinnema, S. and Lourenço, P.B. (2024) ‘Development and experimental characterization of the thermomechanical behavior of a scaled steel ladle’, International Journal of Applied Ceramic Technology, 21(5), pp. 3660–3677. Available at: https://doi.org/10.1111/ijac.14783.
  • Samadi, S., Jin, S., Gruber, D. and Harmuth, H. (2022) ‘Thermomechanical finite element modeling of steel ladle containing alumina spinel refractory lining’, Finite Elements in Analysis and Design, 206, article 103762. Available at: https://doi.org/10.1016/j.finel.2022.103762.
  • Akbari, B., Gruber, D., Jin, S. and Harmuth, H. (2022) ‘Investigation of three-stage compressive creep of a spinel forming refractory castable containing 8% MgO’, Ceramics International, 48(3), pp. 3287–3292. Available at: https://doi.org/10.1016/j.ceramint.2021.10.103.

PhD 13 - Innovative wear modelling and ladle optimization (FEM)

A 36 Months PhD starting in October 2026 and supervised between University of Orleans (France) and TATASTEEL-IJmuiden (Netherlands)

PhD13 will develop and validate finite element models for ladle linings, including both brick and monolithic lining concepts. These models will capture dry-out, thermal shock, primary and secondary creep, corrosion-driven property changes and progressive wear. The project will compare different lining architectures, investigate trade-offs between geometry, layer thickness and thermal cycling, and derive simplified models suitable for faster optimisation and integration into digital tools.

The project will deliver two validated thermo-mechanical models for brick and monolithic ladle linings, as well as a reduced model suitable for topology optimisation and digital twin workflows. It will also provide guidance linking lining design choices to value-in-use and environmental performance.

PhD13 is one of the key linking projects between materials characterisation and operational optimisation. It uses constitutive data from PhD11 and PhD12, and in turn provides simulation outputs and reduced-order models to PhD14 and PhD15 for digital twin development and decision support. It therefore plays a central role in translating material behaviour into operational modelling.

  • Secondment period (18 months) at Tata Steel to validate the wear models using plant observations and measurements.
  • Secondment period (1 month) at Stahl-Holding-Saar to transfer numerical results to PhD14 and support the data-driven modelling activities.

Work contract timeline:

  • UORL – LaMé, Orléans, France (36 months)

Work localisation timeline:

  • Period 1 – TATASTEEL, IJmuiden, The Netherlands (18 months)
  • Period 2 – UORL – LaMé, Orléans, France (18 months)

Master’s level in Mechanics and/or Computational Methods in Mechanical Engineering. Candidates should be excellent in their skills for numerical method (finite element method) applied to mechanics, with some experiences. Oral and written communication skills (English) are also required. This PhD will have one contract for the full 36 months from the University of Orleans. As the PhD will be employed in France, the mobility rule applies to France not The Netherlands (even though this will be the initial location for this PhD). This means that candidates must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before recruitment. Short stays and holidays do not count.

Some examples of recent publications:

  • Huo, Y., Gu, H., Yang, J., Huang, A. and Ma, Z. (2022) ‘Thickness monitoring and discontinuous degradation mechanism of wear lining refractories for refining ladle’, Journal of Iron and Steel Research International, 29(7), pp. 1110–1118. Available at: https://doi.org/10.1007/s42243-021-00731-x.
  • Johansen, S.T., Løvfall, B.T. and Rodriguez Duran, T. (2024) ‘A pragmatical physics-based model for predicting ladle lifetime’, Journal of the Southern African Institute of Mining and Metallurgy, 124(3), pp. 93–110. Available at: https://doi.org/10.17159/2411-9717/2680/2024.
  • Maj, M., Tatzgern, F., Rojacz, H., Adam, K. and Varga, M. (2025) ‘Wear progress monitoring in torpedo ladles in steel industry’, Wear, 580–581, article 206297. Available at: https://doi.org/10.1016/j.wear.2025.206297.
  • Liao, C., Li, G., Wei, L., Ji, W. and Yi, Z. (2024) ‘A novel temperature dynamic prediction model for erosion risk mitigation of ladle’, International Communications in Heat and Mass Transfer, 156, article 107612. Available at: https://doi.org/10.1016/j.icheatmasstransfer.2024.107612.
  • Yilmaz, S. (2003) ‘Thermomechanical modelling for refractory lining of a steel ladle lifted by crane’, Steel Research International, 74(8), pp. 485–490. Available at: https://doi.org/10.1002/srin.200300221.
  • Ali, M., Sayet, T., Gasser, A. and Blond, E. (2020) ‘Transient thermo-mechanical analysis of steel ladle refractory linings using mechanical homogenization approach’, Ceramics, 3(2), pp. 171–188. Available at: https://doi.org/10.3390/ceramics3020016.
  • Verrelle, D., Boulanger, P. and Peruzzi, S. (2003) ‘Optimization of steel ladle refractories with a view to increasing ladle capacity’, Metallurgical Research & Technology, 100(10), pp. 961–975. Available at: https://doi.org/10.1051/metal:2003115.
  • Rong, Z., Yi, J., Li, F., Liu, Y. and Eckert, J. (2022) ‘Thermal stress analysis and structural optimization of ladle nozzle based on finite element simulation’, Materials Research Express, 9, article 045601. Available at: https://doi.org/10.1088/2053-1591/ac648c.
  • Klopf, M., Hou, A., Jin, S. and Gruber, D. (2024) ‘Steel ladle slag zone lining optimization considering irreversible material behavior’, Steel Research International, 95(7), article 2300557. Available at: https://doi.org/10.1002/srin.202300557.
  • Ruela, V., van Beurden, P., Luchini, B., Hofmann, R. and Birkelbach, F. (2024) ‘Optimizing the steel ladle thermal management: Toward a sustainable and cost-effective ladle fleet logistics’, Steel Research International, article 2400616. Available at: https://doi.org/10.1002/srin.202400616.
  • Sun, Y., Huang, P., Cao, Y., Jiang, G., Yuan, Z., Bai, D. and Liu, X. (2022) ‘Multi-objective optimization design of ladle refractory lining based on genetic algorithm’, Frontiers in Bioengineering and Biotechnology, 10, article 900655. Available at: https://doi.org/10.3389/fbioe.2022.900655.

Full package of relevant publications


PhD 14 - Physics-informed digital twins for design, monitoring and optimal operation of steel ladle refractories

A 36 Months PhD starting in October 2026 and supervised between UMINHO (Portugal) and SHS (Germany)

PhD14 will build a physics-informed digital twin able to transform harmonised operational data into real-time forecasts of lining temperature, wear and remaining useful life. The project will construct a clean, time-aligned data backbone and combine explainable classification models with reduced-order forecasts grounded in finite element physics. It will also address class imbalance, data drift and predictive uncertainty in a rigorous way, and it will deploy a web-based dashboard for operators.
The project will deliver an end-to-end data pipeline, a web dashboard showing condition labels and wear maps, and hybrid reduced-order and machine-learning models with uncertainty quantification and explainability. The digital twin will be validated through retrospective studies and an industrial demonstration campaign.
PhD14 integrates results from several other projects, especially PhD11, PhD12, PhD13 and PhD15. It uses dry-out, creep and wear models to build a physics-informed digital twin and also connects with the data-platform and traceability activities so that operational information can be fed back into environmental assessment and digital product record.
  • Secondment period (1 month) at Tata Steel to acquire first-hand knowledge of in situ operational data and plant monitoring practices.
  • Secondment period (1 month) at Tata Steel to conduct an industrial demonstration campaign on a production ladle.
Work contract timeline:

  • Period 1 – SHS, Völklingen, Germany (18 months)
  • Period 2 – UMINHO, Guimarães, Portugal (18 months)

Work location timeline:

  • Period 1 – SHS, Völklingen, Germany (18 months)
  • Period 2 – UMINHO, Guimarães, Portugal (18 months)
Master’s level in Materials Science, Engineering or similar field. Candidates should have strong analytical skills in engineering. A solid background in thermomechanical analysis is expected. Excellent oral and written communication skills in English are required.
Some examples of recent publications:

  • Fu, T., Liu, S. and Li, P. (2025) ‘Digital twin-driven smelting process management method for converter steelmaking’, Journal of Intelligent Manufacturing, 36, pp. 2749–2765. Available at: https://doi.org/10.1007/s10845-024-02366-7.
  • Ponsard, C., De Landtsheer, R. and Palm, B. (2018) ‘Accurate reasoning using imperfect digital twins: A steel industry case study’, ERCIM News, 115. Available at: https://ercim-news.ercim.eu/en115/special/accurate-reasoning-using-imperfect-digital-twins-a-steel-industry-case-study.
  • Vannucci, M., Colla, V., Chini, M., Gaspardo, D. and Palm, B. (2022) ‘Artificial intelligence approaches for the ladle predictive maintenance in electric steel plant’, IFAC-PapersOnLine, 55(2), pp. 331–336. Available at: https://doi.org/10.1016/j.ifacol.2022.04.215.
  • Jančar, D., Machů, M., Velička, M., Tvardek, P., Kocián, L. and Vlček, J. (2022) ‘Use of neural networks for lifetime analysis of teeming ladles’, Materials, 15(22), article 8234. Available at: https://doi.org/10.3390/ma15228234.
  • Kim, M., Wen, T., Lee, K. and Choi, Y. (2024) ‘Physics-informed reduced order model with conditional neural fields’, arXiv [Preprint]. Available at: https://doi.org/10.48550/arXiv.2412.05233.
  • Sun, Y., Huang, P., Cao, Y., Jiang, G., Yuan, Z., Bai, D. and Liu, X. (2022) ‘Multi-objective optimization design of ladle refractory lining based on genetic algorithm’, Frontiers in Bioengineering and Biotechnology, 10, article 900655. Available at: https://doi.org/10.3389/fbioe.2022.900655.
  • Sztangret, Ł., Regulski, K., Pernach, M. and Rauch, Ł. (2023) ‘Prediction of temperature of liquid steel in ladle using machine learning techniques’, Coatings, 13(9), article 1504. Available at: https://doi.org/10.3390/coatings13091504.
  • Sado, S., Jastrzębska, I., Zelik, W. and Szczerba, J. (2023) ‘Current state of application of machine learning for investigation of MgO-C refractories: A review’, Materials, 16(23), article 7396. Available at: https://doi.org/10.3390/ma16237396.

PhD 15 - Development of a decision support system for optimizing ladle management under dynamic and sustainable conditions

A 36 Months PhD starting in October 2026 and supervised between TUW (Wien, Austria) and FESIOS (Gmunden, Austria)

PhD15 aims to develop a scientifically grounded Decision Support System (DSS) for the management of steel ladle fleets, integrating predictive and prescriptive analytics across the operational, tactical and strategic decision horizons. Steel ladles are critical and costly assets whose refractory linings degrade under repeated thermal cycling; their availability, thermal state and remaining useful life govern energy use, CO2 emissions, production continuity and cost. The project addresses the fact that these objectives are deeply interdependent and frequently conflicting, so that improving one dimension in isolation, for example minimising reheating energy, can worsen another, such as refractory wear or schedule feasibility. The DSS will be developed and tested against a Python-based Discrete-Event Simulation (DES), the FESIOS « virtual melt shop », which is already in use at the industrial partner FESIOS and will be adapted to the specific case of TATA STEEL IJmuiden within the project.

The first objective is to map operator logic and plant constraints and to assemble a representation of the TATA STEEL IJmuiden plant within the DES. Working closely with TATA STEEL IJmuiden, PhD15 will formalise the plant layout, rules, constraints and KPIs that shape day-to-day ladle dispatching and fleet maintenance, translating tacit operational knowledge into an explicit, analysable decision model that can be encoded in both optimisation formulations and the simulation environment. Historical ladle-management data will be supplied by TATA STEEL. At an early stage the model will rely on simplified wear-rate and temperature-loss predictions derived from historical and literature data; these will subsequently be replaced by the reduced-order temperature functions and digital-twin predictions of condition, remaining useful life and temperature loss developed in PhD13 and PhD14, ensuring that decisions ultimately rest on physically credible, uncertainty-aware inputs delivered at plant-relevant speed. This objective aims to reduce the simto-real gap of the DES and to provide a validation testbed for quantifying KPIs on availability, waiting time, downtime, energy and emissions under uncertainty, without the need for live plant integration.

The second objective is to design and implement a solver stack that investigates optimisation by exact, heuristic and metaheuristic methods and reinforcement-learning (RL) policies for dispatching and fleet scheduling under uncertainty. The virtual melt shop serves both as the training environment for RL policies and as a testing environment that requires the DSS to prescribe discrete decisions under controllable uncertainty, without the risks and complications of live plant implementation. The project will benchmark learning-based sequential decision methods against mathematical-programming baselines, using the latter as an optimality reference where feasible. The objective is to use the DES to demonstrate the DSS‘ ability to suggest robust decisions to operators in real-time.

The third objective is to use the validated DSS and simulation environment to study the decarbonisation of ladle operations at the strategic horizon. Steel ladle preheating and reheating are typically fired with natural gas, making them a significant and often overlooked source of Scope 1 emissions. The project will model alternative plant configurations based on renewable or low-carbon ladle-heating options, such as inductive heating, plasma torches and hydrogen burners, and assess their effects on scheduling feasibility, ladle availability, energy demand and emissions relative to a natural-gas baseline. By coupling these technology scenarios to the scheduling and dispatching logic, the DSS can reveal how decarbonisation measures interact with day-to-day operations, rather than treating energy supply and fleet management as separate problems. The resulting evidence is intended to support strategic, plant-level decision-making on decarbonisation pathways for the steel sector.

The fourth objective is to consolidate these capabilities into a coherent, human-in-the-loop decision-support tool whose recommendations carry explicit rationales and sensitivity to key assumptions, so that operators and domain experts can review them against established KPIs and retain final authority over adoption.

PhD15 is expected to deliver both a methodological advance in the digitalisation of ladle fleet management and an industrially relevant prototype validated for the TATA STEEL IJmuiden case. A first result will be a validated Discrete-Event Simulation of the IJmuiden melt shop within the FESIOS « virtual melt shop », incorporating a formalised, analysable model of operator logic, plant layout, constraints and KPIs. Calibrated initially on historical ladle-management data with simplified wear-rate and temperature-loss assumptions, and subsequently on the reduced-order predictors from PhD13 and PhD14, this environment is expected to reduce the simto-real gap sufficiently to serve as a credible testbed for quantifying availability, waiting time, downtime, energy and emissions under uncertainty, without the cost and risk of live plant trials.

A second result will be a benchmarked solver stack for dispatching and fleet scheduling under uncertainty, comprising exact, heuristic and metaheuristic optimisation alongside reinforcement-learning policies. A central outcome will be a structured comparison of these approaches, with mathematical-programming formulations serving as an optimality reference where feasible and learning-based policies trained and stress-tested inside the virtual melt shop under controllable uncertainty. The intended demonstration is that the DSS can prescribe robust, discrete decisions to operators in near real-time, clarifying where data-driven policies add value over established optimisation and where they do not.

A third result will be a scenario-based assessment of decarbonisation pathways for ladle operations at the strategic horizon. Because ladle preheating and reheating are typically gas-fired and constitute a significant, often overlooked source of Scope 1 emissions, the project is expected to quantify how alternative low-carbon heating options, such as inductive heating, plasma torches and hydrogen burners, affect scheduling feasibility, ladle availability, energy demand and emissions relative to a natural-gas baseline. By coupling these technology scenarios to the scheduling and dispatching logic, the analysis is expected to show how decarbonisation measures interact with day-to-day operations, providing evidence to support strategic, plant-level decisions on decarbonisation pathways for the steel sector.

A fourth result will be the consolidation of these capabilities into a coherent, human-in-the-loop DSS whose recommendations carry explicit rationales and sensitivity to key assumptions, so that operators and domain experts review them against established KPIs and retain final authority over adoption. Taken together, these results are expected to yield a pilot-ready DSS, validated on both historical and simulated campaigns, that jointly considers ladle availability, operating cost and sustainability. The work is also expected to contribute several peer-reviewed publications and to feed into the shared REFFRACTEUR knowledge base, demonstrating how the integration of hybrid optimisation, reinforcement learning and discrete-event simulation can advance the decarbonisation of energy-intensive, refractory-dependent industries.

PhD15 sits at the operational end of the REFFRACTEUR digital chain and is therefore most closely connected to the modelling and digital-twin projects upstream of it, namely PhD13 and PhD14. PhD13 is expected to provide reduced-order thermal models and temperature functions derived from finite-element studies of ladle linings, while PhD14 supplies digital-twin predictions of condition, remaining useful life and temperature loss. These outputs feed the DES and the optimiser as physically credible, uncertainty-aware predictive inputs. The dependency is deliberately staged: PhD15 begins with simplified wear-rate and temperature-loss models based on historical and literature data, and integrates the PhD13 and PhD14 predictors as they mature, so that the interaction enriches the work without blocking its progress.

In return, PhD15 closes the loop by converting these predictions and operational constraints into optimised dispatching, thermal-management and maintenance schedules, and by feeding the resulting KPIs on energy, downtime and lining usage back towards the WP1 sustainability and life-cycle activities, where they inform eco-design and circularity accounting. The joint secondment periods at TATA STEEL Ijmuiden, together with PhD 13 and PhD 14, ensure scientific exchange and methodological coherence across the network and grounds the optimisation and simulation work in the same plant-validated data.

PhD15 includes two complementary secondments at the industrial partner TATA STEEL IJmuiden, both essential to grounding the decision-support and simulation work in real plant operations and coordinated with the secondments of PhD13 and PhD14 to enable joint scientific exchange on site.

A first secondment early in the project will allow the doctoral candidate to experience the melt shop directly, to gain first-hand understanding of plant layout, logistics and operator behaviour, and to begin drafting a realistic discrete-event model of the ladle circuit. This stay is also the principal opportunity to acquire the initial operational datasets on which the virtual melt shop and the decision support system depend.

A second secondment in the second half of the project will focus on validation and practical implementation: comparing the developed model and DSS against the real environment, identifying missing details and unmodelled constraints, discussing realistic pathways to deployment with operators and engineers, and gathering any additional data required to close the gap between simulation and practice. Conducting these stays alongside PhD13 and PhD14 further supports the integration of their thermal and digital-twin predictors into the simulation. Together, the two stays bracket the project’s modelling cycle, ensuring that the optimisation, reinforcement-learning and decarbonisation studies remain anchored to genuine industrial conditions and operator needs.

Work contract timeline:

  • Period 1 – FESIOS, Gmunden, Austria (18 months)
  • Period 2 – TUW, Vienna, Austria (18 months)

Work location timeline:

  • Period 1 – FESIOS, Gmunden, Austria (M4–M5)
  • Period 2 – TATA STEEL, IJmuiden, Netherlands – Secondment 1 (M6)
  • Period 3 – FESIOS, Gmunden, Austria (M7–M21)
  • Period 4 – TU Wien, Vienna, Austria (M22–M27)
  • Period 5 – TATA STEEL, IJmuiden, Netherlands – Secondment 2 (~M28)
  • Period 6 – TU Wien, Vienna, Austria (M29–M39)

PhD15 is intended for highly motivated candidates with a strong quantitative background in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Mechanical or Process Engineering, or a closely related discipline, at Master’s level. The position is particularly well suited to applicants who wish to work at the interface between operations research, simulation, machine learning and industrial decarbonisation, and who are motivated by translating methodological work into tools that real operators can use.

Candidates should demonstrate a genuine interest in optimisation and simulation, and ideally some familiarity with one or more relevant areas such as mathematical programming, metaheuristics, reinforcement learning, or discrete-event simulation. Programming ability, preferably in Python, is important, since the work builds directly on a Python-based simulation environment and modern RL libraries. A specific prior specialisation is not required: a strong, transferable analytical foundation and a clear willingness to learn the steelmaking and refractory domain matter more than existing domain credentials.

Because the project is carried out jointly between TU Wien and FESIOS, with secondments to TATA STEEL IJmuiden, the successful applicant should be comfortable working in an interdisciplinary and intersectoral environment, engaging with academic researchers, software engineers and plant operators alike. An interest in sustainability and industrial decarbonisation is valued, given the project’s emphasis on energy, emissions and renewable heating options. Strong oral and written communication skills in English, scientific curiosity, autonomy, rigour and the ability to engage constructively with complex, open-ended problems are essential, as is a readiness to contribute actively to the collaborative spirit of the REFFRACTEUR network.

Some examples of recent publications:

  • V. Ruela, P. van Beurden, B. Luchini, R. Hofmann, and F. Birkelbach, “Optimizing the Steel Ladle Thermal Management: Toward a Sustainable and Cost-Effective Ladle Fleet Logistics,” Steel Res Int, vol. 96, no. 2, Feb. 2025, doi: 10.1002/srin.202400616.
  • V. Ruela, P. Van Beurden, S. Sinnema, R. Hofmann, and F. Birkelbach, “A Global Solution Approach to the Energy-Efficient Ladle Dispatching Problem With Refractory Temperature Control,” IEEE Access, vol. 11, pp. 137718–137733, 2023, doi: 10.1109/ACCESS.2023.3339392.
  • M. Lee, K. Moon, K. Lee, J. Hong, and M. Pinedo, “A critical review of planning and scheduling in steel-making and continuous casting in the steel industry,” Journal of the Operational Research Society, vol. 75, no. 8, pp. 1421–1455, 2024, doi: 10.1080/01605682.2023.2265416.
  • ​J. Yang et al., “Fine description of multi-process operation behavior in steelmaking-continuous casting process by a simulation model with crane non-collision constraint,” Metals (Basel), vol. 9, no. 10, Oct. 2019, doi: 10.3390/met9101078.
  • ​M. Holmström, D. Sundberg, N. E. Perez, A. Arteaga Ayarza, H. Köchner, and B. Glaser, “Numerical Modeling of Direct Current Plasma Versus Natural Gas-Heated Steelmaking Ladles: Validation via Full-Scale Industrial Measurements,” Steel Res Int, Aug. 2024, doi: 10.1002/srin.202400510.
  • V. Ruela, (2026). Enhancing the Sustainability of Steelmaking through the Optimization of Ladle Operations [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.123322

Full package of relevant publications


Introduction to Doctoral Networks

As a first step, I would like to provide a short general introduction to Doctoral Networks, in order to clarify what these projects are and how they are positioned within the European research landscape. This presentation is partly based on material from the European Commission that I had the opportunity to follow last year.

You are probably familiar with Marie Skłodowska-Curie, a renowned scientist with a bi-national background between Poland and France, who played a major role in the history of science, notably with regard to the place of women in science. Her legacy gave rise to the Marie Skłodowska-Curie Actions (MSCA), which are a major European funding programme dedicated to research and training.

The main objectives of MSCA are to train researchers at a very high level, to attract new talent from all over the world, and to promote international, interdisciplinary, and intersectoral collaboration. A strong emphasis is placed on cooperation between academic institutions and industry, in order to reduce the gap between fundamental research and applied research.

Within the Horizon Europe framework programme, MSCA are part of Pillar 1, which is dedicated to Excellent Science. This pillar also includes other major instruments such as the European Research Council (ERC) and research infrastructures. The overall objective is to reinforce scientific excellence across Europe.

Within MSCA, Doctoral Networks (DN) represent a specific funding scheme dedicated to training a cohort of PhD candidates. Unlike individual fellowships, Doctoral Networks are designed to train a group of doctoral candidates within a coordinated research and training programme.

A typical Doctoral Network is a large collaborative European project involving between 10 and 30 partner organisations. It usually has a budget on the order of four million euros and supports between 10 and 15 PhD candidates. These projects bring together universities, research institutes, industrial companies, and sometimes other types of non-academic organisations.

The core idea of a Doctoral Network is to interlink individual PhD projects within a coherent scientific framework. Each doctoral project addresses a specific research question, but all projects contribute to a broader scientific objective defined at the level of the consortium.

Importantly, Doctoral Networks are not only research projects; they are also ambitious training programmes. When designing a DN, it is essential to consider both the scientific excellence of the research topics and the quality of the training activities. These include international mobility, interdisciplinary exposure, structured supervision, and career development planning.

The expected impact of Doctoral Networks is multifaceted. At the European level, they contribute to structuring research activities, strengthening links between academia and industry, fostering innovation and entrepreneurship, and increasing the attractiveness of Europe for talented researchers worldwide. They also play a key role in developing high-level human capital.

One important feature of Doctoral Networks is their capacity to introduce and disseminate new practices. For example, tools such as career development plans, which are now progressively implemented in doctoral schools, have been strongly promoted through MSCA projects. In this sense, Doctoral Networks can act as experimental platforms for improving research and training practices at a broader scale.

Doctoral Networks are implemented within different scientific panels, such as engineering, physics, life sciences, or social sciences. In our case, research topics related to refractory materials are typically submitted within the engineering panel.

There are several modes for implementing a Doctoral Network. In the standard mode, each PhD candidate is mainly supervised by an academic institution, with interactions with other partners, including industry. In the case of Joint Doctorates, PhD candidates are supervised by at least two academic institutions and receive a joint or double PhD degree.

A third mode, which is particularly important, is the Industrial Doctorate. In this case, there is a strong involvement of the non-academic sector. The doctoral candidate is jointly supervised by an academic institution and an industrial partner, and must spend at least 50% of their PhD duration in the non-academic sector. This requirement ensures a strong exposure to industrial challenges and promotes knowledge transfer between academia and industry.

From an organisational point of view, a Doctoral Network involves different types of partners. Beneficiaries are organisations that recruit PhD candidates and receive funding from the European Commission. In addition, there are associated partners, who do not receive funding and do not recruit doctoral candidates, but contribute to the project through training activities, secondments, or other forms of collaboration.

It is also important to highlight that the working environment provided by a Doctoral Network can be significantly different from that of a standard PhD. The strong international dimension, the high level of collaboration, and the structured training programme offer a unique opportunity that is difficult to achieve in a more conventional context.

However, Doctoral Networks are highly competitive programmes. Each year, a large number of proposals are submitted to the European Commission—typically between 1,400 and 1,600—and only about 10% are funded.

The evaluation process is rigorous and consists of several steps. Proposals are first evaluated individually by experts, then discussed within a consensus group to harmonise evaluations, and finally assessed at the panel level to establish a ranking.

Projects are evaluated according to three main criteria: excellence, impact, and quality of implementation. Excellence refers to the scientific quality of the research and training programme. Impact concerns the expected benefits in terms of career development and societal or economic effects. Quality of implementation relates to the organisation of the consortium and the feasibility of the project.

Based on my own experience over the past years, it is clear that the level of competition has significantly increased over time, making it increasingly challenging to obtain funding. Nevertheless, Doctoral Networks represent an extremely powerful instrument for structuring research and training at the European level.

To conclude, I would like to recall a key message attributed to Marie Skłodowska-Curie: we cannot hope to build a better world without improving individuals. This perfectly reflects the philosophy of MSCA and Doctoral Networks, which aim to invest in people as the primary driver of scientific and societal progress.


ABOUT DOING A PHD WITHIN MARIE SKLODOWSKA-CURIE ACTIONS


WHAT CAN YOU LEARN FROM FORMER PHD STUDENTS INVOLVED WITH SISTER PROJECT ATHOR (2017-2022)?

What can you learn from Diana?

Diana VITIELLO was the PhD1 within ATHOR (www.etn-athor.eu). She has defended her PhD at the University of Limoges in April 2021. She is now Material & Process Engineer for SITAEL (Italy) LinkedIn

What can you learn from Robert?

Robert KACZMAREK was the PhD2 within ATHOR (www.etn-athor.eu). He has defended his PhD at the University of Limoges in December 2021. He is now Global R&D Trainee at RHI Magnesita (Austria). LinkedIn

What can you learn from Farid?

Farid ASADI was the PhD3 within ATHOR (www.etn-athor.eu). He has defended his PhD at the University of Limoges in June 2021. He is now Post-Doctoral Researcher at Ecole des Ponts ParisTech (France). LinkedIn

What can you learn from Camille?

Camille REYNAERT was the PhD4 within ATHOR (www.etn-athor.eu). Her PhD Defense will come soon at the University of Krakow. She is now Research Engineer at VESUVIUS (Belgium). LinkedIn

What can you learn from Ilona?

Ilona KIELIBA was the PhD5 within ATHOR (www.etn-athor.eu). Her PhD Defense will come soon at the RWTH University of Aachen. She is now Research and Development Engineer at Nemak (Poland). LinkedIn

What can you learn from Lucas?

Lucas TEIXEIRA was the PhD9 within ATHOR (www.etn-athor.eu). His PhD Defense will come soon at the University of Orléans. He is now Senior Simulation Engineer at at RHI Magnesita (Austria). LinkedIn

What can you learn from Soheil?

Soheil SAMADI was the PhD14 within ATHOR (www.etn-athor.eu). He has defended his PhD at the University of Leoben in December 2021. He is now Software Development Engineer at Bosch (Austria). LinkedIn

WHAT CAN YOU LEARN FROM FORMER PHD STUDENTS INVOLVED WITH SISTER PROJECT CESAREF (2022-2026)?

What can you learn from João?

João Victor MENEZES CUNHA was the PhD01 within CESAREF (https://www.cesaref.eu/). He completed his PhD between the University of Liege and RHI Magnesita. He is now working at RHI Magnesita (Austria). LinkedIn

What can you learn from Kwasi?

Kwasi BOATENG was the PhD06 within CESAREF (https://www.cesaref.eu/). He completed his PhD between the University of Limoges and IMERYS. He is now working at RHI Magnesita (Austria). LinkedIn

What can you learn from Harikeshava?

Harikeshava RANGANATHAN was the PhD08 within CESAREF (https://www.cesaref.eu/). He completed his PhD between the University of Limoges and IMERYS. LinkedIn

What can you learn from Paula?

Paula CAMPOS DE OLIVEIRA was the PhD10 within CESAREF (https://www.cesaref.eu/). She completed her PhD between BAM and SAFRAN. LinkedIn

What can you learn from Milena?

Milena GOMES was the PhD12 within CESAREF (https://www.cesaref.eu/). She completed her PhD between RWTH and RHI Magnesita. LinkedIn

What can you learn from Victor?

Victor SAO PAULO RUELA was the PhD15 within CESAREF (https://www.cesaref.eu/). He completed his PhD between the TUW and Tata Steel. LinkedIn