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application per studentship, you cannot apply for multiple studentships on one application. Contact Details Dr Adam Ingram School of Mathematics, Statistics and Physics Email: adam.ingram@newcastle.ac.uk
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astrophysics, and reproducible research software development. Candidate Profile We welcome all applicants with a background in: • Physics, Astrophysics, Data Science, Applied Mathematics or a related field
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Science is pleased to announce THREE fully funded PhD scholarships in fields related to mathematical and statistical methods to advance medical research. We ask applicants to choose ONE project from
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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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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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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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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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/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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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