Postdoctoral Research Associate in the Mathematical and Computational Foundations of Artificial[...]

1 week ago


Oxford, United Kingdom University of Oxford Full time

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. Research Themes Learning with Structured and Geometric Models. We will apply tools from manifold learning and Riemannian optimisation to leverage the underlying manifold structure for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend foundational theory of how large ML systems can be regularised to have dramatically fewer trainable parameters without sacrificing accuracy by analysing the use of low-dimensional building blocks. 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. Reinforcement Learning through Stochastic Control. We will develop methods from stochastic control, which will provide a mathematically grounded approach that has a well-posed continuous-time limit (as opposed to traditional RL methods that are inherently discrete and do not scale favourably for high frequency observations without judicious hyper-parameter tuning). This is a two-year fixed-term position, funded by a research grant from the EPSRC. The start date is flexible. The successful candidate will conduct research within the remit of this large‑scale project and collaborate with other members of the hub, both at Oxford and/or with hub partners including universities, companies, and governmental organisations. They will contribute to the wider machine learning and data science research group, write up results of their work with co‑authors for publication in refereed journals and proceedings, and have the opportunity 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. Position Details Postdoctoral Research Associate in the Mathematical and Computational Foundations of Artificial Intelligence Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG #J-18808-Ljbffr



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