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3.5-year D.Phil. studentship Project: Nature-based and biomimetic foundation systems Supervisors: Professor Jonathan Knappett and Professor Chris Martin The root systems of trees provide ‘foundations’ that develop in response to the loads applied to the tree. For example, trees subjected to high...
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Title: Quantum tomography of electronic states Supervisor: Professor Adam Kirrander Start date: 1st October 2026 Applications are invited for a DPhil studentship in the quantum tomography of electronic states, available from October 2026, to work under the supervision of Professor Adam...
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Research Studentship in Engineering 3.5-year D.Phil. studentship Project: Electronic-free Mechanical Oscillators for Fast Locomotion in Soft Robots Supervisors: Prof Antonio Elia Forte Soft robots promise adaptability, resilience, and safety, yet remain tethered to bulky compressors and...
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Title: Dynamic Processes in Organic Functional Materials Supervisors: Professor Paul R. McGonigal & Dr Alyssa-Jennifer Avestro Start date: 1st October 2026 Applications are invited for a DPhil studentship in Synthetic andPhysical Organic Chemistry available from October 2026, to work under the...
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within the Institute. This role would be suitable for individuals who have or are working towards completing a PhD/DPhil in AI Ethics and/or Data Ethics and Neuroethics and/or Philosophy of Psychiatry by
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irradiation damage of materials, who is self-motivated and able to plan and deliver a complex research project. You will have a relevant PhD (or be near completion) in Materials Science or Physics and will have
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at Oxford, one of the world’s leading science universities. The position is available for a fixed-term period of 3 years. Eligibility Applicants must hold a PhD/DPhil in Physics by the start date
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emergence risks. You will also support colleagues including research assistants, technicians, PhD students, and other postdoc offering advice and guidance on spatial modelling, One Health approaches, and
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials