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of Engineering which conducts cutting edge research spanning exploration to translation, with curiosity driven projects all the way through to application in the clinic. Vision We are seeking PhD student that is
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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new materials‑processing paradigm with strong potential for publication and application in sensing, sustainable engineering, and resilient infrastructure. Scholarship: The award will cover the UK
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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This PhD project aims to computationally design improved transparent oxide scintillators for X-ray detection applications. New materials are needed for X-ray detectors because existing detector
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. The project will build on existing processes for battery recycling and iterate on these to develop protocols specific to PV modules. Both end-of-life and state-of-the-art modules will be considered, to ensure
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PhD Studentship: Reliability and sustainability of packaging for cryogenic power electronics This exciting PhD opportunity is jointly hosted by the Power Electronics, Machines and Control (PEMC
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-fidelity experiments (combined particle tracking velocimetry and particle image velocimetry) in a large wind tunnel here at Imperial College London, or high-fidelity numerical simulations. Up to two PhD
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commencing on the 2nd of March 2026 (online or in person, depending on the candidate’s location). The selected candidate will need to follow the regular PhD application process at the University of Nottingham
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Rare-earth permanent magnets underpin modern life. From electric motors and wind turbines to medical imaging, sensors, and consumer electronics, Neodymium-Iron-Boron (NdFeB) magnets are essential