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wellbeing and enabling inclusive decision-making for a greener, fairer and healthier future. The PhD will be based in the Environmental Mathematics group within the Department of Earth and Environmental
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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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factors, including geographic location, hydrodynamic conditions, and water depth. This PhD will build upon numerical modelling studies to employ physical modelling experiments in state-of-the-art facilities
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profile We welcome applicants with backgrounds in computer science, applied mathematics, or engineering. Essential: strong Python, deep learning experience (PyTorch), and foundations in calculus/linear
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, Physical Sciences, Chemistry, Natural Science, Mathematics. Mode of study Full-time Start date 1 October 2026 Funding This PhD project is in a competition for a Faculty of Science funded studentship. Funding
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the
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to how well they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science, Mathematics or Physics Excellent written and spoken communication skills in
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/Overseas applicants . This project would potentially suit candidates from backgrounds in Structural and Mechanical Engineering, Engineering Mathematics, Applied Mathematics and Physics. We are interested
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interacting QFTs, where non-perturbative features become important. In this project, the student will apply techniques from mathematical physics, such as generalized symmetries and topologically invariant QFTs
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capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1