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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
qualification equivalent to a Master’s degree in Chemistry, Mathematics or Computer Science by the start of the PhD; A curious mind-set and strong background in quantum crystallography and its underlying
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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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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. Successful applicants will, ideally be in post by 2 November 2026. Applicants should normally hold a PhD in a relevant field. We also welcome applications from candidates who are close to completing their PhD
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, will contribute to the future success of Durham University’s Institute for Computational Cosmology (ICC). A world-renowned research centre, the ICC is about to celebrate its 25th anniversary during
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), alongside joint honours degrees with Philosophy and Economics, and a PPE programme. We also contribute substantially to Combined Honours in Social Sciences and Liberal Arts pathways. At postgraduate level, we
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as computer time, commensurate with career stage. Essential Research Criteria - Associate Professor (Grade 9): 1. Qualifications - a good first degree and a PhD in Physics or a related subject. 2
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physics, cosmology, particle physics and quantum physics. It has real world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic modelling
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physics, cosmology, particle physics and quantum physics. It has real world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic modelling
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position to apply for relevant permanent academic roles, should they arise, at Durham or elsewhere. Successful applicants are normally expected to be within 5 years of completing their PhD, although career