Senior Postdoctoral Research Fellow

University of Oxford - Department of Statistics

24-29 St Giles, Oxford, OX1 3LB

We are looking for a Senior Postdoctoral Research Fellow Reporting to the Principal Investigator Prof Yee-Whye Teh, the postholder will be a member of the Oxford Computational Statistics and Machine Learning (OxCSML) research group, with responsibility for leading and carrying out research pertinent to the project, as well as day-to-day management of research activities relevant to the project, e.g. weekly meetings, journal clubs, seminars etc.

There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while observational information is included via guidance towards samples consistent with it. However, these methods suffer from a variety of problems, including high computational cost, difficulty tuning hyperparameters, and uncontrolled approximation errors.

In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse problems, and applying them to problems in climate, weather, imaging and astronomy.

You will be Close to completion or hold a relevant Ph.D/D.Phil with post-qualification research experience in the areas of generative AI, deep learning, and inverse problems. For Grade 7, the successful applicant is not required to have post-qualification research experience, but will hold or be close to completion of a relevant PhD/DPhil. You will also possess sufficient specialist knowledge, research skills and interests in generative AI and deep learning to work within established research programmes and contribute ideas and solutions.

This post is fixed-term for 15 months.

We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, further details/other documents e.g. publications list and the contact details of two referees as part of your online application. Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date.

Please direct informal enquiries about the post quoting vacancy reference 185150

Only applications received before 12.00 noon UK time on 13 March 2026 can be considered. Interviews are anticipated to be held on the week commencing 23 March 2026.