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. This transition is driven by the agri-tech sector, providing affordable and quick assessment tools that empower farmers with soil health data. This project aims to understand farmers' responses to these changes and
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diverse and under-represented backgrounds and can offer flexible working arrangements. Funding Sponsored by EPSRC and three industrial partners, this studentship will cover: PhD fees; research equipment and
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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invites applications from candidates with a robust foundation in data science, modelling, and/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real
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covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference
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involve the development of new data, techniques, and evaluations. The successful candidate will also take part in dissemination of research findings. The student will work as part of the interdisciplinary
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Funding amount: Scholarships are available on a competitive basis that cover tuition fees and a teaching contract to support living costs for Home and International students Hours: Full Time, Part
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cancer care Geospatial health equity The LIRCH fully funded studentship package includes: PhD tuition fees paid (home fee rate*). Tax-free stipend at UKRI rates to cover living costs. Research Training
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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Research theme: Fluid Mechanics, Machine Learning, Ocean Waves, Ocean Environment, Renewable Energy, Nonlinear Systems How to apply: How many positions: 1 Funding will cover UK tuition fees and tax