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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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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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high-risk areas and populations, helping public health teams prepare for and respond to outbreaks and work with experts in microbiology, data science, and public health, gaining skills in statistical
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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
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PhD Studentship: Embedding Implementation Science within Horizon Scanning to Enable Adoption-Ready Technologies Award Summary 100% of home tuition fees and annual stipend at UKRI rates (2026–27
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Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (biological sciences, plant science, ecology
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degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Earth Science, Geology, Geochemistry or equivalent). This studentship is open to those who qualify for Home
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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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Science · Select ‘ Select PhD Biology - Biological Sciences ' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A