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One of the current challenges in electric vehicle (EV) technology is the development of electromechanical braking (EMB) systems to replace conventional hydraulic brakes and to integrate them with primary regenerative braking. EMBs are highly sensitive to EV harsh operating conditions. This...
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This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be...
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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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rates and their implications for system performance; and iv) the potential of thermal energy storage to enhance overall efficiency. The project will apply a mixed-methods approach combining numerical
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with natural systems. This interdisciplinary project will combine laboratory experiments, numerical modelling, and advanced artificial intelligence (AI) techniques to improve predictions of the coastal
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Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is
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-vapour experiments, gaining hands-on experience in optical-setup design, III–V semiconductor physics, atomic physics, quantum optics and numerical modelling. The research targets scalable components
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looking for curious, enthusiastic and hard-working candidates with the following expertise: En understanding of concepts in fluid mechanics, and analytical and numerical methods to solve partial
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analysis: exploring relationships among quantum divergences and their role in statistical efficiency. Simulation and numerical validation: using small- to mid-scale quantum simulators and classical emulators
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A