Based in the Department of Statistics at the University of Oxford, our research spans the whole range of modern statistics and machine learning with particular strengths in probabilistic modelling, nonparametric methods, Monte Carlo, variational inference, deep learning, causality, and applications in genetics, genomics and medicine.

Information for prospective students

Latest News

  • Yee Whye's Breiman Lecture

    Slides and video for Yee Whye Teh’s Breiman keynote lecture can be found here.

  • NIPS Workshops Participation 2017

    In addition to 6 papers in the main program of NIPS 2017 and Yee Whye Teh’s Breiman keynote lecture, OxCSML will be represented at several NIPS workshops with the following contributions.

  • Postdoctoral Research Assistant in Statistical Machine Learning

    Applications are invited for a full-time postdoctoral research assistant in statistical machine learning, fixed-term for up to 2 years. Reporting to Professors Yee Whye Teh and Dino Sejdinovic, the postholder will be a member of the OxCSML (Oxford Computational Statistics and Machine Learning) research group with responsibility for carrying out research on the Oxford - Tencent AI collaborative project on Large-Scale Machine Learning. The funds supporting this research project are provided by Tencent AI until October 2020.

    Further details are here.

    The closing date for applications is 12.00 noon on Monday 8 January 2018. Interviews will be held on Friday 26 January 2018.