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aspect of the ongoing research is solving stochastic partial differential equations on surfaces, e.g., with surface finite element methods. Who we are looking forThe following requirements are mandatory
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods
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the PhD, you will gain expertise in finite element modelling, electronic control and instrumentation, machine learning, experimental methods, and advanced signal processing. You will also build strong
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structural characterization; magnetic and structural analysis; preliminary experience with finite-element simulations; and experience in developing hardware and software for control and data acquisition as a
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element analysis, or related computational methods is considered an advantage, but is not required Clear motivation to conduct structured research and to produce documented and publishable research outcomes
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Structural Design, e.g. robust design under uncertainty and reliability analysis of full-scale wind systems, complementing established project activities in: multi-scale finite-element modelling
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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. Their principal strength is the lower numerical dispersion and dissipation they introduce compared with the low-order finite volume and finite element schemes that currently dominate industrial solvers. In
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Essential requirements Knowledge and skills in Finite Element Analysis Skills in additive manufacturing Desired requirements Knowledge and experience in optimization methods (e.g. Genetic algorithm) Knowledge
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mitigation. Advanced simulation frameworks will be developed, combining wave & finite element based methods, multi-scale homogenization, and nonlinear modelling to efficiently investigate and evaluate a wide