Job Description

We are seeking a Postdoctoral Researcher in Human-AI interaction to join a research group focused on studying learning and decision-making in humans and machine learning systems led by Prof Chris Summerfield.

The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a particular focus on studying how humans and AI systems can interact safely and beneficially.

This is a part-time post (0.2FTE/7.5 hours per week) and is fixed term for two years in the first instance, with the possibility of renewal.

The successful candidate will have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social behaviour, learning, decision-making, or a related area. A proven track record of publishing work as lead author in computer science, social science or cognitive science, strong quantitative and programming skills along with excellent communication skills and a collaborative outlook, including a willingness to help other lab members on ongoing projects, and help foster good communication within the lab are also required.

The closing date for applications is 12.00 midday on 25 July 2025.

You will be required to upload a CV, supporting statement and details of two referees as part of your application. To apply for this role and for further details, including the job description and selection criteria, please see the link below.

The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according to the selection criteria.