Postdoctoral Researcher

Location Computer Science, Wolfson Building, Parks Road, Oxford, OX1 3QD

We are looking for a Postdoctoral Researcher in Computational Game Theory, including Social Choice Theory at the Department of Computer Science.

The post-holder will report directly to Professor Paul Goldberg and will work on the EPSRC-funded project "Driving Behaviour in Multi-winner Voting" within the Algorithms and Complexity Theory research theme.

The position is for the two-month period of November and December 2026. The project involves collaboration with the PI Prof. Paul Goldberg, and collaborators at King's College London. The project web page is at https://www.cs.ox.ac.uk/people/paul.goldberg/project-BMW.html

What We Offer

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:

• An excellent contributory pension scheme
• 38 days annual leave (pro-rata for part-time roles)
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs

The postholder will work onsite in the Department of Computer Science buildings in central Oxford, however remote (within the UK) and flexible working can be considered.

Diversity

Committed to equality and valuing diversity.

Application Process

You will be required to upload a supporting statement and an up-to-date CV as part of your online application.

Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.

While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.

The closing date for applications is noon on Monday 21st September 2026.

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