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: to design GaN power components with their integrated functionalities. In close collaboration with the project consortium, the different devices will be studied using 1D and 2D finite element analyzes (e.g
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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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underexplored. Coupled numerical models of the tunnel and surrounding soil will be developed, combining finite element with boundary element and perfectly matched layer formulations. These models will be used
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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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Develop instrumentation and fixtures for the automation. Capabilities in advanced finite element or machine learning tools for process optimisation Disseminate the research outcomes into Journal
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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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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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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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. 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