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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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and information theory, with opportunities to collaborate with partners in robotics, autonomous systems and AI safety. Access to modern computing facilities and experimental platforms (e.g. robotic
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. The studentship is fully funded for 3 years. The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary
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. This correspondence is a cornerstone of the modern Langlands program, providing a deep and unforeseen bridge between harmonic analysis and number theory. The primary goal of this project is to formalise
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then be fed into process-level flowsheet models. The UK-National Nuclear Laboratory (UK-NNL) is supporting this project. In addition to acquiring training in computational modelling and theory
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the liquid insulation and solid dielectric materials are subject to degradation over time, leading to potential reliability and safety risks. This PhD project will investigate the short‑term and long‑term
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. The successful candidate will be expected to work closely with Amentum staff and will be required to obtain Baseline Personnel Security Standard (BPSS) National Security Vetting during their PhD, with
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the design, implementation and interpretation of projects utilising human genetics data. The role holder will use their computational skills and experience of using statistical genetics approaches to analyse
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Safety and Environmental Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national
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Overview We are inviting applications for a Research Assistant to support the University of Sheffield’s contribution to the SMART (Secure Motor AI-Responsive Technology) project. The post will