CHAI Research Fellow

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 and their intersections with causal inference and healthcare applications. The postholder will interact closely with members of the EPSRC Causality in Healthcare AI Hub (CHAI, http://www.chai.ac.uk), an international consortium of universities, industry partners, government bodies, and regulatory entities to develop cutting-edge innovations to enhance patient care and outcomes.

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. Experience in causal modelling and/or healthcare applications is desirable.

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.

This post is available from 1st of April 2025 (flexible later starting dates are possible), and funded full time for up to 24 months in first instance., 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. Available documents