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Department of Experimental Psychology, Life and Mind building, South Parks Road

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"Postdoctoral Researcher in Human-AI interaction"

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Postdoctoral Researcher in Human-AI interaction

Research Grade 7

16 February 2026 12:00

Location

Life and Mind Building, South Parks Road, Oxford

University of Oxford

Type

Full-time

Salary

£39,424 - £47,779 per annum

Required Qualifications

PhD/DPhil in computational social science, computer science, or cognitive science
Track record studying humans and machine learning models
Lead author publications in computer/social/cognitive science
Strong quantitative and programming skills
Excellent communication and collaborative skills

Research Areas

Human-AI interaction
AI alignment and safety
Learning and decision-making in humans and AI
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Postdoctoral Researcher in Human-AI interaction

Postdoctoral Researcher in Human-AI interaction

Department of Experimental Psychology, Life and Mind building, South Parks Road

The University of Oxford is a stimulating work environment which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

The Department of Experimental Psychology is a large, internationally recognised department with a high volume of academic activity and a fast-paced, research-driven culture. The Life and Mind building offers renewed commitment to work across disciplinary boundaries to further knowledge across the psychological and biological sciences and to solve major global challenges.

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 Christopher 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. 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 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 16th February 2026.

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 equal opportunity, and to being an inclusive institution where everyone belongs and is supported to succeed. We recognise how the diversity of our community enriches our ability to deliver on our academic mission. We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.

Contact Person: HR team
Vacancy ID: 184559
Closing Date & Time: 16-Feb-2026 12:00
Pay Scale: RESEARCH GRADE 7
Contact Email: hr@psy.ox.ac.uk
Salary (£): £39,424 - £47,779 per annum

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Frequently Asked Questions

🎓What qualifications are required for the Postdoctoral Researcher in Human-AI Interaction?

Candidates must have completed or be near completing a PhD/DPhil in a quantitative field like computational social science, computer science, or cognitive science. A proven track record in studying humans and machine learning models in areas such as social behaviour, learning, or decision-making is essential, along with lead author publications. Strong quantitative, programming skills, and collaborative communication are required. See postdoc jobs for similar roles or postdoc success tips.

💰What is the salary, duration, and employment type for this role?

The position offers a salary of £39,424 - £47,779 per annum on Research Grade 7. It is full-time and funded for two years initially, with possible renewal. Explore university salaries or postdoc opportunities for comparisons.

🔬What research responsibilities will the post holder have?

The role involves conducting rigorous research on human-AI interaction and alignment, focusing on safe and beneficial interactions between humans and AI systems. Join Prof Christopher Summerfield's group studying learning and decision-making in humans and machine learning. Check research jobs or academic CV tips.

📝How and when should I apply for this University of Oxford postdoc position?

Applications close at 12:00 midday on 16 February 2026. Upload a CV, supporting statement, and details of two referees. Apply via the official link in the job post. Contact HR team at hr@psy.ox.ac.uk. Review free resume template and cover letter template for preparation.

📍What is the location and department for this Human-AI postdoc?

Located in the Department of Experimental Psychology, Life and Mind Building, South Parks Road, University of Oxford. The department fosters interdisciplinary research in psychological and biological sciences. Oxford is a world-class environment for academic research. View university jobs or faculty positions in similar settings.

🌍Does this role offer visa sponsorship or support for international applicants?

The job post does not mention visa sponsorship. Applicants should check University of Oxford policies for international hires. The university supports diversity and inclusion. For advice, see scholarships or general higher ed career advice.
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