Research Fellow

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 an exciting opportunity for a researcher with a strong background in statistics or machine learning who would like to grow that skill set further. They will build hands on experience in developing methodology for machine learning methods in causal inference. In addition, they will have opportunity to develop their expertise on dissemination of research through software deployment and interaction with other researchers in Statistical Science and Computer Science. The postholder will be working closely with and responding to Prof Ricardo Silva. This post is funded by the Engineering and Physical Sciences Research Council (EPSRC), UK, and is available from 1st of April 2024, and funded full time for up to 32 months in the first instance. UCL provides an exciting and dynamic environment and an excellent opportunity for the right applicant to develop a career as an independent researcher in machine learning and computational statisti! cs. About you A PhD or equivalent qualification in statistics, computer science or a closely related field is essential. Experience of statistical or machine learning programming is essential. 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 https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits 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.