41 big-data-and-machine-learning-phd Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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, or experimental testing of plasma devices within vacuum chambers, and a demonstrated aptitude for learning new fields of research. The person should have a PhD, or equivalent qualifications and experience, in
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maritime networks from the sixteenth to the nineteenth centuries. It will bring together large quantities of previously fragmented archival evidence from across Europe to reconstruct patterns of maritime
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a
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modelling, immunometabolism, and regenerative medicine within a large, well‑funded collaborative programme. About you You will hold a PhD/DPhil or equivalent a relevant discipline along with: Strong hands
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30 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Biological sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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physical and mechanical manipulations. The postholder will also carry out quantitative analyses to extract meaningful information about tissue mechanics. The successful candidate will have a PhD or
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, the Research Fellow will execute defined research workstreams, contribute to analytical strategy, and generate reproducible and clinically meaningful insights from large-scale genomic and health data. Research
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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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organisational settings. Applicants should have a MSc degree or PhD in psychology, neuroscience, cognitive neuroscience, or a closely related discipline. Previous experience collecting and analysing EEG data is