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24-29 St Giles, Oxford, OX1 3LB

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"Florence Nightingale Bicentenary Fellow in Statistical Machine Learning"

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Florence Nightingale Bicentenary Fellow in Statistical Machine Learning

Research Grade 8

13 April 2026, 12:00 noon UK time

Location

24-29 St Giles, Oxford, OX1 3LB

University of Oxford

Type

Fixed-term, 3 years

Start Date

September 2026

Salary

£49,119 - £58,265 (discretionary to £65,336 p.a., pro-rata)

Teaching Load

Half of ordinary Oxford faculty position

Required Qualifications

Doctorate in machine learning, statistics or related
Research in statistical machine learning
Teaching/supervision in statistics/ML
Potential to lead in field

Research Areas

Statistical Machine Learning
Computational Statistics
Machine Learning for Estimation/Inference
Probabilistic ML
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Florence Nightingale Bicentenary Fellow in Statistical Machine Learning

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.

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

Pay Scale: RESEARCH GRADE 8

Salary: £49,119 - £58,265 (with a discretionary range to £65,336 per annum) (pro-rata)

Vacancy ID: 185148

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Frequently Asked Questions

🎓What qualifications are required for the Florence Nightingale Bicentenary Fellow?

Candidates must hold a doctorate in machine learning, statistics, or a related subject, with research interests in statistical machine learning (principled, probabilistic, or foundational ML, or ML for statistical problems like estimation and inference). Outstanding individuals with leadership potential are sought. Explore research jobs for similar roles or faculty positions at universities.

📅What is the application deadline and process?

Applications close at 12:00 noon UK time on 13 April 2026. Submit a statement on selection criteria, CV, publications, and referee details online. Referees must send letters directly to hr@stats.ox.ac.uk by deadline. Interviews follow soon after. See resume templates and cover letter templates for preparation.

💰What is the salary and employment type?

Salary: £49,119 - £58,265 (discretionary to £65,336 p.a., pro-rata) on Research Grade 8. This is a fixed-term 3-year career development position starting September 2026, with half teaching load and £2,000/year research funding. Compare with professor salaries or university salaries.

👨‍🏫What teaching and research duties are involved?

Conduct and publish original statistical machine learning research integrating with departmental strengths (e.g., computational statistics, probability). Teach/supervise at undergraduate/graduate levels in statistical machine learning, applied stats, or programming; provide pastoral care. Half teaching load of standard faculty. View lecturer jobs for more on academic duties.

🔬What research areas does the Department of Statistics focus on?

World-leading in computational statistics, machine learning, theoretical statistics, probability, and applied fields like genetics, bioinformatics, epidemiology. Seek candidates aligning with statistical machine learning. Check postdoc opportunities or research assistant jobs for related paths.

📧Who should I contact for enquiries?

Direct informal enquiries to Prof Tom Rainforth at rainforth@stats.ox.ac.uk, quoting vacancy 185148. The department holds Race Equality Charter Bronze and Athena SWAN Silver Awards, encouraging applications from under-represented groups. Learn more via higher ed career advice.
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