Location
University of Warwick Campus, Coventry
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Department
Statistics
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Position Type
Fixed Term
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Duration
Fixed-term contract for 26 months or 31st January 2029
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Salary
£35,608 to £46,049 per annum
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About the Role
Informal Queries
Candidates who are considering making an application are strongly encouraged to discuss the program in greater detail by contacting:
Professor Gareth Roberts at
[email protected]
Paul Jenkins at
[email protected]
Matthew Thorpe at
[email protected]
We invite applications for a 26-month Research Fellow to join the Prob_AI Hub (https://www.probai.uk) and based in the Statistics Department of University of Warwick. (https://warwick.ac.uk/fac/sci/statistics/).
The vision of the Prob_AI hub is to develop a world-leading, diverse and UK-wide research pro-gramme in probabilistic AI. The hub will develop the next generation of mathematically rigorous, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world-leading researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non- academic partners; transforming the people pipeline; and producing a culture change within the mathematical sciences more broadly, so that cross-disciplinary mathematics research in AI is the norm.
This £8.5M programme is funded by EPSRC and brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick. Interaction between the research groups at the six universities will be strongly encouraged and resourced, with broad research projects to involve substantial cross-institutional collaborations.
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About You
You should have, or be close to completing, a PhD in Mathematics, Statistics, Machine Learning or a related discipline.
The Prob_AI Hub’s research programme involves developing mathematical understanding of AI that will lead to more reliable, interpretable and uncertainty aware AI methods.
We are keen to encourage applications from anyone with the mathematical skills needed to undertake such research. Experience working in AI, whilst desirable, is not required.
Relevant mathematical background includes, but is not limited to: Bayesian statistics, computational statistics, inverse problems, numerical analysis, probability, statistical machine learning, stochastic analysis and uncertainty quantification. See https://www.probai.uk/research-themes/ for further details of the specific mathematical skills required for the position.
You will have demonstrated the ability to develop either new methodology or new mathematical understanding.
We are particularly keen to encourage applicants with a strong theoretical background and are looking to put together a team of researchers with broad skills that cover relevant areas of mathematics, statistics, machine learning and AI.
A demonstrable ability to produce academic writing of the highest publishable quality is essential.
For details on the experience and skills required, please refer to the
PhD Status
If you are near submission of your PhD, or have not yet had it conferred, any offers of employment will be made at Research Assistant level, at the highest spinal point of pay grade 5 (£34,610 per annum).
Upon receipt of evidence confirming the successful award of your PhD, you will be promoted to Research Fellow, at the lowest spinal point of grade 6 (£35,608 per annum).
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About the Department
This position will be based at the University of Warwick, where the Department of Statistics is one of the largest and most diverse statistics groups in the world. Research in the department spans a broad range of areas in statistics, data science, theoretical and applied probability, finance and interdisciplinary collaboration. Its teaching programmes attract exceptional students at all levels. It comprises around 800 undergraduate students on degree courses in MORSE, Mathematics and Statistics and Data Science and 150 postgraduate students on the MSc Statistics, MSc Mathematical Finance and PhD degree streams. Major strategic initiatives include the research centre CRiSM, which acts as a catalyst for research across the breadth of the Department, the Applied Statistics & Risk Unit (AS&RU), which promotes and coordinates external partnerships, and the national Academy for PhD Training in Statistics (APTS).
Warwick is recognised by the National Cyber Security Centre as an Academic Centre of Excellence in Cyber Security Research, with collaboration in this area across departments including Statistics, Computer Science and the Warwick Manufacturing Group.
The Department of Statistics is committed to promoting equality and diversity, holding an Athena SWAN Silver award which demonstrates this commitment. We welcome applicants from all sections of the community and will give due consideration to applicants seeking flexible working patterns, and to those who have taken a career break. Further information about working at the University of Warwick, including information about childcare provision, career development and relocation is at https://warwick.ac.uk/services/humanresources/workinghere/.
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About the University
We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK.* Additionally, 92% of our research is rated world-leading or internationally excellent.**
Find out more about us at warwick.ac.uk/about/.
- World University Ranking 2026, Complete University Guide 2026
** Research Excellence Framework 2021
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How to Apply
Closing Deadline: Sunday 6th September 2026 at 11:55pm (UK Time)*
To apply, please click APPLY below and submit an application form by the closing deadline.
You will be asked to include a CV and Cover Letter. These documents should:
Outline employment and education history (including your most recent employment).
Demonstrate how you meet the essential and desirable criteria in the /*generated inline style */
Right to Work in the UK
If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa, please follow this link which contains further information about obtaining the right to work in the UK.
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