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website: https://www.hortenseleferrand.com/ We are looking for a researcher able to carry FEM simulations of reinforced composites materials using Abaqus. The experimental characterization of samples
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and carry out finite element method (FEM) simulations. Our developments focus on higher efficiencies, more cost-effective manufacturing processes and materials, improved long-term stability and new
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« group of the »Glass and Precision Manufacturing« department, are looking for motivated student assistants involved in highly innovative research projects. Your main tasks consist of FEM simulation and
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30th April 2025 Languages English English English The Department of Structural Engineering has a vacancy for a PhD Candidate in AI and FEM Development for Autonomous Structural Design Apply
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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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shaping the change! We support you in your work with: A research topic with strong relevance for future memory technologies Work with a well-established FEM simulation tool Close supervision and integration
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application of machine learning to biomedical data ï‚· Background in computational modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications
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specifically related to Space applications. This would include CAD design, FEM software analysis, fabrication and assembly abilities, supply chain assessment and identification, hands on assembly abilities
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skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
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materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS