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). Overview This PhD will develop a data-driven framework to understand how climate-driven extreme weather affects electricity distribution networks and how targeted interventions can reduce
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hydrodynamic modelling remains largely unexplored, creating an opportunity to unite data-driven and physics-based approaches across diverse UK hydrological regimes. This project will develop a national
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allowance of £21,805 (2026-27 UKRI rates). Overview Artificial Intelligence(AI)-driven decision engines are increasingly embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids
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embedded in next-generation medical technologies using horizon scanning and foresight methods. The project will investigate how sustainability is currently applied in MedTech and identify emerging
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using finite volume methods (OpenFOAM) applied to electrochemical engineering as well as participate and learn with hands-on experiments in the lab. Applicants whose first language is not English
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. Our PG Admissions staff will change the start date to January 2027 after you've applied. You then need to provide the following information in the ‘Further Questions’ section: A ‘Personal
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. The PhD candidate, funded by the UKHSA, will work with the IID3 study team and the UKHSA using study data. The aim is to understand how laboratory methods can affect the detection of pathogens and how
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). Minimum Data: ‘Research Stream’ and ‘Scholarship Category’ are required for Minimum data (see Section 3 of Appendix C – Guide to Applicants). Track Record: In addition to Publications, ‘Research Outputs
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agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and
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observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations. These models will improve predictions of mineral alteration