Senior Research Fellow in Causal Machine Learning

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 causal inference methodology, to undertake research combining state-of-the-art machine learning and causal inference for solving real world healthcare challenges, such as heterogeneous treatment effect estimation in longitudinal settings and optimal treatment decision rules, using electronic health records. The postholder will be an integral member of the methodologically focused research group led by Professor Karla DiazOrdaz, and benefit from research interactions with Ghent University, and University of California Berkeley, and the EPSRC AI Hub for Causality in Healthcare AI with Real Data (CHAI).

The post is available as soon as possible and it is funded until 31st October 2026, funded by a Royal Society-Wellcome Trust Sir Henry Dale Fellowship.

Salary: Grade 8 spine point 38 (£52,762 per annum)

About you A PhD qualification in statistics, computer science or a closely related field is essential. Research experience of statistical causal inference or causal machine learning is essential. Experience in analysis of health data is desirable.

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.

We are hoping to contact candidates with an update about their application in the week commencing the 28th April 2025.

Customer advert reference: B04-05932

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