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Research Fellow in Uncertainty Quantification

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About us

The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject since its foundation in 1911. It is one of nine departments in the UCL Faculty of Mathematical and Physical Sciences and has close links with many other departments, both within the Faculty and outside of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In the last Research Excellence Framework exercise (2021/22), over 97% of our output was classified as “world-leading” or “internationally excellent” in terms of originality, significance and rigour. We consistently score highly in the National Student Survey in the Postgraduate Taught Experience Survey.

About the role

The post is funded for one year by the EPSRC ExCALIBUR grant “Software Environment for Actionable & VVUQ-enabled Exascale Applications” (SEAVEA). The post holder will develop new cross-cutting algorithms for Uncertainty Quantification, to create multi-fidelity and multi-physics surrogates and investigate their design of experiments, in coordination with collaborators working on Verification and Validation and on software engineering platforms. The fellow will analyse their strengths and deploy them onto supercomputers, together with collaborators and partners. Some of the key applications will include nuclear fusion modelling with the UK Atomic Energy Authority, and weather and climate modelling with the Met Office and Cambridge University. The post holder will have access to national and international supercomputing facilities, and have the opportunity to access training, present at conferences and workshops, and b e involved in Knowledge Exchange activities. Upon the ending of this funding, there is an option for the post-holder to transfer to an open-ended position of Research Data Scientist within the Centre of Advanced Research Computing (ARC), subject to a satisfactory performance evaluation. Further information about ARC can be found at

About you

The postholder will have a proven record of ability to carry out high quality research in a branch of statistics, applied mathematics, computational sciences, including conference presentations and publications in highly regarded peer-reviewed journals. The postholder will have expertise in numerical modelling and data sciences, specifically Uncertainty Quantification and be able to collaborate with researchers in other disciplines and research software engineers.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are: • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit to find out more.

Our commitment to Equality, Diversity and Inclusion

The department holds a Bronze Athena SWAN award in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. We strongly support UCL’s Equalities and Diversity Strategy, and encourage applications to our vacancies from under-represented groups.

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