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for understanding natural magmatic processes on earth & other planetary bodies. Neutron diffraction is a powerful technique for studying the atomic scale structure of these materials, but the current technology to
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these robots utilise electronic, chemical, pressure, magnetic, or thermal mechanisms, with the current generation having significant drawbacks, including low energy efficiency, high operating voltage
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
computer science or mechanical engineering. The candidate will have programming experience and preferably with previous experience of using machine learning and understanding of how to develop machine learning
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of advanced materials such as ceramics, composites, and coated alloys. These materials often have low thermal conductivity or internal interfaces that introduce unique thermally induced damage mechanisms
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nationals only) and research costs) three-year full-time PhD available to start on the 1st October 2025. The overall theme of this PhD programme is improving clinical assessment and research access
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for An enthusiastic, self-motivated individual with an interest in empirical and modelling work to test out new reactor designs. This will involve some work with Matlab or similar program to quantify mixing systems
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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EPSRC Doctoral Landscape Award: Embedded power electronics converters design for future electric vehicles Applicants are invited for a 4-year EPSRC Doctoral Landscape Award PhD programme, co
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a variety of machine learning algorithms trained on these data and, most crucially, will develop and implement techniques for computing the uncertainty in the prediction. The algorithms developed in
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed