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the Exa-DI CDT, the recruited person will: - contribute, according to your expertise, to the Exa-DI Motif-based Working Group (WG1) on efficient high-order FEM discretisation for PDEs @exascale, to co
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circuits; design advanced magnetic components, particularly with planar PCB based or embedded inductors and transformers; conduct power circuit simulations (LTspice or similar) and FEM simulation (ANSYS
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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related field. Simulation Expertise: Proven experience with finite element method (FEM) simulations using software such as COMSOL, Ansys, Lumerical, or Sonnet. Experience with electronic design automation