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requirement is 2:1 in mathematics or physics. Mode of Study Full or Part time Start Date 1 February 2027 Additional Funding Information This project is offered on a self-funded basis. It is open to applicants
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. For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 22 September 2026 can be considered. You will be required
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requirements Open to candidates who pay UK/home rate fees. See UKCISA for further information . Starting in April 2027. Later start dates are possible, please contact Dr Patrizia Camelliti once the deadline
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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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university, or an equivalent standard from an overseas university, in a relevant subject such as imaging, biology, biochemistry, chemistry, biomedical sciences, pharmaceutical sciences, data analysis
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and generates local economic growth. The project uses data on investments made by development banks to build a novel panel dataset spanning 20 years of climate-relevant finance across European regions
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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health
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the sophisticated mathematical objects required to state the main theorem. This will involve developing a computer-verified library for the two sides of the correspondence: (1) the representation theory of GL₂(F
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from