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Queen Mary University of London

Postdoctoral Research Associate in AI, Welfare Governance, and Migration Management Queen Mary University of London in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

12-month fixed-term part-time postdoctoral research associate position at 0.5 FTE, salaried at £39,187 - £47,550 per annum pro-rata. The role is ERC-funded as part of the DigiWeB project.

Deadline

Nov 10, 2026

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Country

United Kingdom

University

Queen Mary University of London

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Keywords

Computer Science
Data Science
Sociology
Information Technology
Political Science
Artificial Intelligence
Explainable Ai
Statistics

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About this position

Queen Mary University of London is advertising a 12-month, part-time (0.5 FTE) Postdoctoral Research Associate position supporting DigiWeB (Digital Welfare Borders), an ERC-funded project examining how artificial intelligence shapes welfare governance and migration management across Europe.

The role is jointly based in the School of Society and the Environment and the School of Electronic Engineering and Computer Science, and the successful candidate will work with Professor Rachel Humphris and Dr Dimitrios Kollias. The project focuses on UK, Netherlands, and Sweden case contexts and asks how welfare-AI systems operate in practice.

This post is well suited to applicants with a background in computer science, data science, statistics, or related computational fields. Key research activities include algorithmic auditing, explainable AI (XAI) analysis, data-flow mapping, model evaluation, and work on secure, complex datasets. The post is interdisciplinary and combines technical analysis with social-scientific inquiry into governance, privacy, and ethics.

Eligibility highlights: applicants should hold a PhD, be close to completion, or have equivalent research experience. Strong programming and analytical skills are required, together with the ability to collaborate across disciplines and communicate technical concepts clearly. Experience in auditing predictive systems, reverse engineering, or related AI evaluation methods is desirable.

Funding and contract: the post is fixed term for 12 months at 0.5 FTE, with salary £39,187–£47,550 per annum pro-rata. The advert does not mention tuition or student funding because this is a paid research job rather than a studentship.

How to apply: apply through the Queen Mary University of London jobs portal using the opportunity page. Review the job pack, prepare your application, and submit it before the closing date. For enquiries, contact Rachel Humphris at [email protected].

Deadline: 10 November 2026, 23:55.

Funding details

12-month fixed-term part-time postdoctoral research associate position at 0.5 FTE, salaried at £39,187 - £47,550 per annum pro-rata. The role is ERC-funded as part of the DigiWeB project.

What's required

Applicants should hold a PhD or be close to completion, or have equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer science, or statistics. Strong analytical and programming skills are required, with experience in algorithmic auditing, explainable AI (XAI), model evaluation, or reverse engineering of predictive systems. Candidates should be able to work with large or complex datasets, ensure accuracy, reproducibility, and secure data management, work independently and collaboratively in an interdisciplinary team, communicate complex computational concepts clearly, and understand data governance, privacy, and ethical considerations in AI systems.

How to apply

Apply via the Queen Mary University of London jobs portal using the posted opportunity page and job pack. Review the job description carefully and submit your application before the closing date. For queries, contact Rachel Humphris at the listed email address.

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