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parabolic PDEs such as the heat equation. More precisely, you shall investigate space-time finite element methods (FEM) and space-time boundary element methods (BEM), which both discretize the PDE as a whole
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
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software (e.g., FEM, FDTD) R&D project management skills Fluency in both English and French Abilities and skills: Strong interpersonal and communication skills Ability to work independently and take
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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prediction, uncertainty quantification) and analysis of data from monitoring systems or industrial processes. • Knowledge of hybrid modelling approaches combining physics-based models (e.g., FEM, fracture
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or interest in: Concrete material behaviour and testing Nonlinear FEM Combining laboratory, analytical and numerical research Language Requirements: Applicants must demonstrate at least B2-level proficiency in
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combines numerical simulation, finite element methods (FEM), and artificial intelligence applied to biomedical engineering. The selected candidate will be part of the Institute for Intelligent Systems and
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parabolic PDEs such as the heat equation. More precisely, you shall investigate space-time finite element methods (FEM) and space-time boundary element methods (BEM), which both discretize the PDE as a whole
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. The research will investigate how phase distribution and flow velocities influence fluid–structure interaction (FSI) and will focus on developing novel sub-models for coupled CFD–FEM simulations. Your tasks