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Requirements Have relevant competence in the areas of Finite Element simulations and experimental work Have a degree in a relevant Engineering discipline. Possessing a Master’s or PhD degree will be advantageous
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employed for the auralization of an existing electric vehicle. The PhD is supervised by prof. Dionysios Panagiotopoulos (https://www.kuleuven.be/wieiswie/nl/person/00120151 ) from the KU Leuven LMSD division
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related to sensor development and technology transfer About you: Completed academic education including a PhD in Physics or a related field, or equivalent qualifications and experience Extensive hands
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture approaches, provide a natural bridge between experiment and mechanistic understanding
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration
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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in
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climate-constrained water resources. The CTP research programme is summarised here: https://earthobservatory.sg/research/climate/climate-transformation-programme >. The Research Fellow will be based in
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-design the power stage and its insulation system for safe MV operation, using FEM analysis of electric-field distribution, dielectric stability, and breakdown to guide topology selection, dv/dt management
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-fidelity numerical models to be analysed under regular and irregular sea states (e.g., coupled hydrodynamic–structural models and/or FEM workflows). Develop surrogate models representing the coupled dynamic