Research Fellow in causal inference and machine learning
University College London
About usThe 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 roleThe post is an exciting opportunity for a researcher with a strong background in causality in (bio)statistics or machine learning to undertake research combining state-of-the-art causal inference and machine learning approaches for treatment effect estimation and optimal treatment decision rules, using electronic health records (amongst other data sources).This post is funded by a Royal Society-Wellcome Trust Sir Henry Dale Fellowship, awarded to Professor Karla DiazOrdaz. The Research Fellow will be part of a methodologically focused research group, with interactions with the Alan Turing Institute, Ghent University, and University of California Berkeley.The post is available from the 1st of September 2024. It is funded for 12 months in the first instance (with a possibility of extension).About youApplicants will need a PhD degree in statistics or a related discipline (machine learning, mathematics, data science), as well as some knowledge of either causal inference or machine learning. Previous research experience in a health-related area would be an advantage.What we offerAs well as the exciting opportunities this role presents, we also offer some great benefits some of which are:
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.Our commitment to Equality, Diversity and InclusionThe 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
North West London
Wed, 24 Jul 2024 04:56:20 GMT
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