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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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manufacturing processes, especially for the transportation sector and medical technology. To this end, materials are tailored and manufacturing processes are designed to conserve resources – from the modeling
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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We are recruiting highly motivated and enthusiastic doctoral students in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
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project, aims to develop multiscale models spanning from the dendritic scale to the bulk scale to characterize magnetohydrodynamic behaviour under time-varying electromagnetic fields, and to uncover the key
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This project will develop advanced computational and experimental tools to support the safe, efficient, and scalable manufacture of materials critical to UK and European security, with a particular
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24 Apr 2026 Job Information Organisation/Company Vrije Universiteit Brussel Department Materials and Chemistry (MACH) Research Field Engineering » Chemical engineering Engineering » Civil
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within a Research Infrastructure? No Offer Description This PhD project integrates advanced materials modelling and theoretical nuclear physics to support next-generation nuclear energy systems, with a