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This 3.5-year PhD project is fully funded, and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and
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mapping technologies. This PhD would particularly suit candidates with backgrounds in: Artificial intelligence or machine learning Computer science Data science or computational modelling Engineering
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Number of awards: 1 Award information: Fully funded PhD studentship covering Home tuition fees and a tax-free stipend. Available to Home fee-status applicants only due to funding structure
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. There is also a need for accounting noise in Deep Learning models and quantifying uncertainty in real-world applications. This PhD studentship (scholarship) leverages large-scale Earth Observation data
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: Search for the ‘Course Title’ using programme code:8050F Research Area: Computing Science Select ‘PhD Computer Science(Full Time) – Computing Science) as programme of study (please note that although you
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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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Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national programme with 18 industrial
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dates may be possible, please contact Professor Matthew Baerman once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Candidate profile Excellent overall
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regulatory networks in myeloma. The aim of this PhD programme is to 1) identify gene regulatory networks altered in multiple myeloma and 2) Map key TF-coactivator interactions and dissect their functional
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Application deadline: All year round Research theme: Minewater geothermal How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition