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is optimised for deployment across diverse industrial sites. Candidates should already hold or be nearing completion of a PhD in chemical/biochemical engineering, process systems engineering
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on developing high-fidelity cardiovascular models, simulating fluid dynamics, and exploring device-flow and device-tissue interactions through cutting-edge multi-physics and physiological modelling. You will
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for crafting simulation-ready computational anatomy models, incorporating tissue microstructure properties. This is an exciting opportunity to apply your expertise to large-scale real-world datasets, including
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-technology applications, numerical modelling and simulation. The group are active members of the National Graphene Institute (NGI), the Royce institute for advanced materials The person appointed will need
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to demonstrate the following: is in possession or close to submitting a PhD degree in a relevant discipline (e.g. physics, materials science, computer science, electrical & electronic engineering); has hands
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relevant PhD or equivalent qualification/experience in a related field of study, with sufficient specialist knowledge in power system analysis and optimisation with simulation skills in power system