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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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software with potential to implement changing mechanical properties depending on the XYZ coordinates; 2) develop a procedure to assign the corresponding mechanical properties to each finite element (or group
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the development of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning
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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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of high-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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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
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divisions and users. Our core tasks include mechanical design, feasibility studies, finite element analysis (mechanical, thermal, and vibrational/modal), and contributing to design review meetings with
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, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years of research and is funded according to standard SNSF regulations