Florence Nightingale Bicentenary Fellow in Statistical Machine Learning

Location: 24-29 St Giles, Oxford, OX1 3LB

The Department of Statistics is recruiting to a Florence Nightingale Bicentenary Fellow in Statistical Machine Learning. This is career development positions intended to carry around half the teaching load of an ordinary Oxford faculty position. The successful candidates would be expected to take up their role in September 2026. Funding for research costs of £2,000 per year will be available. 

The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics and statistical epidemiology. 

The successful candidate will hold a doctorate in the field of machine learning, statistics, or a related subject. The Department seeks candidates with research interests that integrates well with research by current members of the department and lies within the area of statistical machine learning (defined in the broad sense of either principled, probabilistic, or foundational research in machine learning, or the use of machine learning techniques for statistical problems like estimation, inference, and experimental design). We aim to hire a candidate who can teach and supervise projects in statistical machine learning and/or other mainstream topics in statistics (for example, applied and computational statistics, simulation and statistical programming). All successful candidates will be outstanding individuals who have the potential to become leaders in their field. They will have the skills and enthusiasm to teach at undergraduate and graduate level within the Department of Statistics, to provide pastoral care to students, and to supervise MSc student projects. They will carry out and publish original research.

This post is fixed term for 3 years. 

Only applications received before 12.00 noon UK time on 13 April 2026 can be considered. Interviews will be held soon after. 

Please direct informal enquiries about the post to Prof Tom Rainforth (rainforth@stats.ox.ac.uk), quoting vacancy reference 185148.

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].

Contact Person: HR Officer

Pay Scale: RESEARCH GRADE 8

Contact Email: hr@stats.ox.ac.uk

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