Postdoctoral Researcher in Human-AI interaction

We are seeking a highly talented and motivated Postdoctoral Researcher with an interest in Human-AI interaction to join a research team led by Prof Chris Summerfield focussed on studying learning and decision-making in humans and machine learning systems.

The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a particular focus on helping build machine learning models that can help humans learn faster and more effectively, and/or make better decisions.  They will independently manage their academic and associated administrative duties and provide guidance in machine learning methods to less experienced members of the research group, participate in the dissemination of research outputs, and carry out collaborative projects with colleagues in partner institutions, and research groups.

The post is full-time and funded 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 together with a demonstrable track record in studying humans and machine learning models.  Advanced programming and statistical skills with the ability to manage multiple competing demands along with excellent communication skills are also required, along with a proven track record of publishing work as lead author.  Experience with machine learning methods for modelling human learning, such as knowledge tracing and/or experience with conducting research that involves prompting or fine-tuning of large language models (LLMs) would be an advantage

The closing date for applications is 12.00 midday on 14 November 2025 and only applications received by this date will be considered.  Interviews will be held shortly thereafter.

Applications for this vacancy are to be made online. You will be required to upload a supporting statement detailing how you meet the selection criteria, your CV, and the contact details of two referees as part of your application.  For further details please refer to the “How to apply” section of the job description.

We are committed to equality and valuing diversity.

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