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couplings, this project will seek to further the fundamental understanding the wear behaviour of such components through both experimental and numerical studies. Experimental work will be carried out using a
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couplings, this project will seek to further the fundamental understanding the wear behaviour of such components through both experimental and numerical studies. Experimental work will be carried out using a
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Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written and spoken English. Desirable: Experience with photonic/electromagnetics design
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, electrical machines, power electronics, dielectric/insulation materials, or related areas would be advantageous. Knowledge of numerical/FEM simulation tools such as COMSOL Multiphysics and MATLAB. Programming
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient