Postdoctoral Research Associate in the Mathematical and Computational Foundations of Artificial Intelligence

Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG We invite applications for a Postdoctoral Research Associate (PDRA) to join the EPSRC Hub on the Mathematical and Computational Foundations of Artificial Intelligence. One PDRA will be recruited to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning through Stochastic Control (a brief description of each these is as follows (additional details are in the further particulars): Implicit Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. This is two-year, fixed-term position, funded by a research grant from the EPSRC. The start date for this post is flexible. The successful candidate will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so collaboratively with other members of the hub, both at Oxford and/or with hub partners which include universities as well as companies and governmental organisations
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They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors, for publication in refereed journals and proceedings. There will be opportunities to contribute a small amount of teaching to the department, of at most three hours a week during the academic terms. We proudly hold a departmental Athena SWAN Silver Award and an institutional Race Equality Charter Bronze Award. Applications received before 12.00 noon UK time on Friday, 09 January 2026 will receivefull consideration. Applications after this date will be considered at the discretion of the committee.