Research Fellow
| Posting date: | 23 July 2025 |
|---|---|
| Salary: | £35,116.00 to £45,413.00 per year |
| Hours: | Full time |
| Closing date: | 20 August 2025 |
| Location: | Warwick, Warwickshire |
| Remote working: | On-site only |
| Company: | University of Warwick |
| Job type: | Temporary |
| Job reference: | 107741-0725 |
Summary
For informal enquiries, please contact Professor Gareth Roberts (Professor) gareth.o.roberts@warrwick.ac.uk
Fixed term, full-time contracts of 21 months available from September 2025. Start date to be agreed with the successful candidate.
We invite applications for a Postdoctoral Research Associate to join the OCEAN project (On intelligenCE And Networks: Mathematical and Algorithmic Foundations for Multi-Agent Decision-Making, https://oceanerc.com). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an ambitious 10M Euro project funded by ERC (UK component from the UKRI funding guarantee), and led by 4PIs: Gareth Roberts (Warwick), Eric Moulines (Ecole Polytechnique), Christian Robert (Dauphine) and Michael Jordan (Berkeley).
We are seeking to recruit a Research Fellow to join the team of investigators led by Gareth Roberts. The successful applicant will be based at Warwick but expected to work alongside other researchers from Roberts’s team (including Adam Johansen at Warwick, Murray Pollock and Hongsheng Dai at Newcastle University, and Louis Aslett at Durham University), as well as researchers from the teams in Paris and Berkeley. They will participate in the many collaborative activities of OCEAN, while also enjoying the vibrant research environment of the Warwick Computational Statistics and Machine Learning group.
We encourage applications in all areas of the foundations, theory and methodology of Computational Statistics or Machine Learning. Previous knowledge of statistical privacy, distributed inference, and/or game theory would be useful, but are not expected.
You should have, or be close to completing, a PhD in Statistics, Probability, Machine Learning or a closely related discipline. You will work directly with the investigators to undertake and support research necessary to achieve the aims within this grant: foundational improvements in inference at scale and related goals. This will include, for example, publishing in leading methodological (and perhaps application domain)journals, presentation of research at workshops and conferences, developing and implementing new statistical methods, and active involvement in project meetings. You will be experienced in one or more of the following areas: Statistics, Computational Statistics, Theory and methodology of Stochastic Algorithms, High-Performance Computing, and Machine Learning. You will have demonstrated the ability to develop new statistical or machine learning methodology. We are particularly keen to encourage applicants with strong computational and mathematical skills, as part of a team of researchers with skills that cover theoretical, methodological, and applied statistics. A demonstrable ability to produce academic writing of the highest publishable quality is essential.
Candidates who are considering making an application are strongly encouraged to contact Professor Gareth Roberts (gareth.o.roberts@warwick.ac.uk).
For further information regarding the skills required for this role please see the personal specification section of the attached job description.
If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure. Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure.
Fixed term, full-time contracts of 21 months available from September 2025. Start date to be agreed with the successful candidate.
We invite applications for a Postdoctoral Research Associate to join the OCEAN project (On intelligenCE And Networks: Mathematical and Algorithmic Foundations for Multi-Agent Decision-Making, https://oceanerc.com). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an ambitious 10M Euro project funded by ERC (UK component from the UKRI funding guarantee), and led by 4PIs: Gareth Roberts (Warwick), Eric Moulines (Ecole Polytechnique), Christian Robert (Dauphine) and Michael Jordan (Berkeley).
We are seeking to recruit a Research Fellow to join the team of investigators led by Gareth Roberts. The successful applicant will be based at Warwick but expected to work alongside other researchers from Roberts’s team (including Adam Johansen at Warwick, Murray Pollock and Hongsheng Dai at Newcastle University, and Louis Aslett at Durham University), as well as researchers from the teams in Paris and Berkeley. They will participate in the many collaborative activities of OCEAN, while also enjoying the vibrant research environment of the Warwick Computational Statistics and Machine Learning group.
We encourage applications in all areas of the foundations, theory and methodology of Computational Statistics or Machine Learning. Previous knowledge of statistical privacy, distributed inference, and/or game theory would be useful, but are not expected.
You should have, or be close to completing, a PhD in Statistics, Probability, Machine Learning or a closely related discipline. You will work directly with the investigators to undertake and support research necessary to achieve the aims within this grant: foundational improvements in inference at scale and related goals. This will include, for example, publishing in leading methodological (and perhaps application domain)journals, presentation of research at workshops and conferences, developing and implementing new statistical methods, and active involvement in project meetings. You will be experienced in one or more of the following areas: Statistics, Computational Statistics, Theory and methodology of Stochastic Algorithms, High-Performance Computing, and Machine Learning. You will have demonstrated the ability to develop new statistical or machine learning methodology. We are particularly keen to encourage applicants with strong computational and mathematical skills, as part of a team of researchers with skills that cover theoretical, methodological, and applied statistics. A demonstrable ability to produce academic writing of the highest publishable quality is essential.
Candidates who are considering making an application are strongly encouraged to contact Professor Gareth Roberts (gareth.o.roberts@warwick.ac.uk).
For further information regarding the skills required for this role please see the personal specification section of the attached job description.
If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure. Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure.