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Magnox and AGR decommissioning, while also understanding the graphite materials that may underpin future advanced modular reactor technologies. This PhD will form part of the EPSRC-funded ENLIGHT programme
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. For funding and how to apply, please click the apply button above. The
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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. 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 paid. We expect the stipend to...
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for device functionality and reduced electrical current requirements, making them highly promising for energy efficient computing and storage technologies. This PhD project will provide novel insights
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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to inform novel parameterisations which will ultimately be integrated into meso-scale weather models to aid in the design and performance prediction of future multi-gigawatt offshore wind installations. PhD
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synthesis have allowed the realization of many novel materials and their alloys, which are gradually finding their ways into numerous applications including energy, sustainability, medicine, novel computation
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(School of Medicine), Teaching Associate – [email protected] This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall