Current Vacancies

Research Associate in Causal Machine Learning at The University of Manchester

Salary: £37,694 - £46,049 per annum, depending on relevant experience

Closing date (DD/MM/YYYY): 09/01/2026

Faculty/Organisational Unit: Biology, Medicine Health (University of Manchester)

Location: Oxford Road Campus

Employment type: Fixed Term

Division/Team: Division of Informatics, Imaging & Data Science

Hours Per Week: 1 FTE

Contract Duration: available from 1 February 2026 to 31 January 2029

School/Directorate: School of Health Sciences

We are seeking a Research Associate with expertise in machine learning and causal inference to join the University of Manchester spoke of “CHAI hub: Causality in Healthcare and AI”. The CHAI hub; led by University of Edinburgh and involving University College London (UCL), Imperial College, Kings College London, and University of Exeter; is a £12M investment in the development of new theory and methods for causality as applied to healthcare.

At University of Manchester, our focus in the hub is on how we can develop and apply causal inference for decision support. Therefore, we are interested in methods to calculate individualised treatment effects, and to allow for predicting future outcomes under a range of interventions. We are also interested in how the incorporation of causal inference in clinical prediction models can improve generalisability and transportability and ensure fairness.

Specific exemplars of interest include optimising cancer treatment – including how to optimise radiotherapy treatment plans; cancer diagnosis and screening – where fairness of models that prioritise individuals for screening is a particular concern; and cardiovascular primary prevention – where we seek to optimise both population-level and individual-level intervention, providing guidance both to individuals and policymakers.

You should ideally have expertise in causal inference and come from a statistical and/or machine learning background. You will hold, or be about to obtain, a PhD in a relevant field.

This is a unique opportunity to join a large UK-wide team of experts in causal inference for healthcare to make a real difference in the field of causal AI. In CHAI we are focusing on flagship projects that require collaboration across all the centres. Extensive training and mentoring opportunities are provided.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Matthew Sperrin

Email: matthew.sperrin@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.