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. The successful candidate will work closely with academic and clinical collaborators to support the collection, management and analysis of multimodal research data. The project will investigate the combined use
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in eddy current sensor responses. This will involve both experimental work and analytical interpretation, linking EM signals directly to underlying physical mechanisms. Key research themes include
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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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data centres and link renewable energy sources and energy storage elements. Aim The aim of the project is to consider the use of modern power electronics in multi-cellular converters to form Solid State
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Sentinel-1, enable rapid large-scale flood detection but face challenges in generalisation, dependence on labelled data, and representation of hydrological processes. Existing UK operational systems combine
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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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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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, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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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