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Postdoctoral Fellow
CHAI Research Fellow Full-time
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), an international consortium of universities, industry partners, government bodies, and regulatory entities to develop cutting-edge innovations to enhance patient care and outcomes.
This post is available from 1st of September 2026 (later start date possible) and funded full time for up to 1st of January 2029 in the first instance.
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.