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Field
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element analysis, or control systems Hands-on experience in prototyping, fabrication, or experimental setups Programming experience (e.g., Python, MATLAB, C++) We regret to inform that only shortlisted
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. Nonlinear finite element modelling and characterisation Conduct numerical modelling via nonlinear finite element analysis and physics-informed neural networks Materials characterisation for soft, textile and
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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, finite element modeling and simulation, experimental validation, mechanical system design, analytical thinking, attention to detail, multidisciplinary collaboration, and a commitment to innovation and
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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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communication skills are essential, together with solid knowledge of continuum mechanics, the Finite Element Method (FEM), fibre-reinforced composites, programming and numerical methods. Experience in
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analysis, with an emphasis on: Mesh generation Steady and unsteady flows Sensitivity studies Validation activities Expertise in computational modeling, including numerical analysis, finite element methods
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an asset; You have a solid background in mechanics of materials, computational mechanics and experience with finite element simulations and optimization. You have expertise in the use of finite element
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communication skills are essential, together with solid knowledge of continuum mechanics, the Finite Element Method (FEM), fibre-reinforced composites, programming and numerical methods. Experience in
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or demonstrated interest in one or more of the following areas: Numerical methods for differential equations (e.g., finite element methods, finite volume methods, or related discretization techniques