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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 code: 980 - 2026/WD 1
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staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials and Process Design Area of research: PHD Thesis Part-Time Suitability: The position is suitable
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-scale atomistic spin simulations to evaluate energetics, thermal stability, non-linear dynamics and stochastic response, and to propose materials engineering routes (composition, doping or strain
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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with aerobic PHA production to create innovative and sustainable materials. All PhD candidates will work closely together within our bioreactor team and collaborate with international research partners
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to imaging, modeling, data, and exploitation. Together, they form a vibrant interdisciplinary research ecosystem. We are seeking a PhD student in the research area D - Energy Materials - sustainable aqueous
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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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We are looking for a PhD candidate to join the AI-Based Materials Science group in the Physics Department at the Technical University of Munich. In this position, you will work at the interface
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About us The DWI – Leibniz-Institute for Interactive Materials is a federal and state funded research institute of the Leibniz Association based on the Melaten Campus of RWTH Aachen University
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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