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carrying out simulation analysis for vehicle and highway safety for vehicle applications. Responsibilities: Develops Finite Element (FE) models in the Vehicle Digitizing Lab; Performs the validation and
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simulations progress, whilst preserving the geometric representation of the project. You will work within a leading group in high-order methods: a class of finite element methods that is now leading the way
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-physics systems, particularly thermal-mechanical analysis in metal additive manufacturing. Familiarity with finite element/finite volume methods, high-performance computing, and simulation data processing
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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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to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering structure preserving Finite Element methods for multiphase flows
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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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. 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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leading group in high-order methods: a class of finite element methods that is now leading the way for future computational fluid dynamics simulations. Specifically, our group develops the Nektar++ spectral
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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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. 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