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PhD in Bridging Physics and Earth Observation: Geospatial foundation models for real-time flood mapping. Award Summary 100% Home fees covered and a minimum tax-free annual living allowance
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: Computing Science · select ‘PhD Computer Science (full time) - Computing Science' as the programme of study You will then need to provide the following information in the ‘Further Questions’ section
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Studentship Information Supervisor: Dr Hannah Cooper (UoN) Secondary Supervisor: Dr Nicholas Girkin (UoN), Dr Georgina Barratt (BBRO) Subject Area: Sustainable Agriculture and Climate Resilience
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Requirements and further details: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Physics, Data Analytics
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technologies, AI and big data. Crop and soil health - resistance and integrated pest management (including AI-driven prediction) and improving the root-soil interface (carbon, water and nutrient availability
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Location: University of Nottingham, Faculty of Engineering Start date: 1 October 2026 Application deadline: 24/07/2026 Project type: Collaborative PhD studentship (joint Academic-Industry
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analysis and iterative development of the toolkit sections. § Undertake analytical and evaluative activities, contributing to analysis and write‑up of observations and reflective notes and delivery
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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‑efficiency, multi‑source energy platforms capable of adaptive and resilient performance. This PhD project aims to develop and evaluate a novel hybrid system that integrates gas turbines, low-temperature carbon
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Qualification Type: PhD Location: Nottingham Funding For: UK Students Funding amount: Full tuition fee waiver pa (Home Students only) and stipend at above UKRI rates pa (currently at £20,780