Florence Nightingale Bicentenary Fellow and Tutor in Computational Statistics & Machine Learning

The Department of Statistics – in conjunction with the Leverhulme Centre for Demographic Science (LCDS), Demographic Science Unit (DSU), Nuffield Department of Population Health – is recruiting a Florence Nightingale Bicentenary Fellow and Tutor in Computational Statistics & Machine Learning. This is a career development position intended to carry around half the teaching load of an ordinary Oxford faculty position. The successful candidate would be expected to take up their role by 1 September 2024. Start-up funding of £2,000 per year will be available.

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

Research will be embedded in the Leverhulme Centre for Demographic Science, which is part of the new Demographic Science Unit at Oxford Population Health (Nuffield Department of Population Health). LCDS is an interdisciplinary research centre aiming to disrupt and realign how we measure and model populations, by infusing new types of data, methods and unconventional approaches to tackles the most challenging demographic problems of our time. Oxford Population Health contains world-renowned population health research groups, large data cohorts and is an excellent environment for multi-disciplinary teaching and research

The successful candidate will hold a relevant PhD/DPhil with post-qualification research experience in the area of computational statistics and machine learning. 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. They will be outstanding individuals who have the potential to become leaders in their field. They will have a strong publication record and sufficient specialist knowledge to develop research projects, along with effective teaching and supervision skills.

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.

If you would like to discuss this post and find out more about joining the academic community in Oxford, please contact Professor Frank Windmeijer ([email protected]) or Professor Melinda C. Mills, [email protected]. All enquiries will be treated in strict confidence and will not form part of the selection decision.

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 including full list of publications, and the contact details of two referees as part of your online application. (NOTE: Applicants are responsible for contacting their referees and making sure that their letters are sent to [email protected] directly by the closing date, quoting vacancy reference 169450). 

This post is fixed-term for three years.

Only applications received before 12pm midday on 17 January 2024 will be considered.

Interviews will be held on 5 February 2024.