Start Date
Immediate
Expiry Date
14 Sep, 25
Salary
45103.0
Posted On
30 Aug, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Education Management
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 in (bio)statistics to undertake research combining state-of-the-art causal inference and machine learning approaches for treatment effect estimation, especially relating to time-to-event and competing events settings, using observational data. 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.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:
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