75 application-forms "https:" "https:" "https:" "UCL" PhD positions at University of Nottingham
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This is a 3.5-year full-time studentship and the successful applicant will receive a tax-free annual stipend and home tuition fees paid. Vision We are seeking a PhD student that is motivated in system
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techniques to utilize the datasets to train improved density functionals for use in quantum chemical electronic structure calculations. Applicants should have, or expected to achieve, at least a 2:1 Honours
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at the University of Nottingham. We are seeking applications to join our multidisciplinary team of currently 8 academics, 7 research fellows, and 15 PhD students investigating novel multinary Reactive Hydride
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aluminium windings in specific high-performance applications, the PhD work will be focused on developing novel motor topologies featuring CNT windings, including designing and testing of optimised prototypes
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for fuel system applications. While these methods provide a wealth of knowledge and information, they remain impractical for industrial use. Therefore, AI modelling techniques will be harnessed to develop
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have at least 2:1 degree in a relevant field. Applicants with the prior knowledge and experience in one or more of the following fields are encouraged to apply: computer programming (any programming
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funded 3-year full-time studentship is available only to UK nationals. The successful applicant will receive a generous tax-free annual stipend of £25,000, full-time home tuition fees paid, and £2,000 per
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covering the Home tuition fees and UKRI stipend. The University actively supports equality, diversity and inclusion and encourages applications from a broad range of applicants. The Faculty of Engineering
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science and its application to real-world technologies. This project aims to redefine how dielectric failure is understood and controlled, introducing a new architecture-led design approach rather than
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for applications across automotive, aerospace, and power generation. Starting from modelling and parametric design of complex 3D laminated and hybrid cores, the PhD student will design and develop new motor