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been filled. Electrical treeing is a primary degradation mechanism in polymer insulation leading to the ultimate failure of high-voltage (HV) cables. Despite being a phenomenon first observed and studied
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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thin dielectric layers, high localised electrical field stress, and the difficulty of ensuring consistent manufacturing quality. Furthermore, the fundamental understanding of its ageing mechanisms under
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systems. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. *Solid background in
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to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands of diverse industrial processes. While mono-material felts offer simplified recyclability, blended
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of Mechanical and Aerospace Engineering and is available to UK students. The successful student will receive an annual tax free stipend set at the UKRI amount (£20,780 for 2025/26) and tuition fees will be paid
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. The project will investigate how advanced and modern cryptographic protocols, such as zero-knowledge proofs, secure multiparty computation, homomorphic encryption, exotic signatures, and their post-quantum
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced