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source

University of Oxford

Senior Postdoctoral Researcher in AI Alignment for Human Flourishing University of Oxford in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

The post is funded for 5 years. It is a salaried postdoctoral research position at the University of Oxford; no stipend amount or tuition coverage is stated.

Deadline

Sep 24, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Cognitive Science
Mathematics
Neuropsychology
Statistics
Physics
ML

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About this position

Senior Postdoctoral Researcher at the Centre for Eudaimonia & Human Flourishing (CEHF), University of Oxford, United Kingdom.

This post sits within an interdisciplinary contemplative science research programme led by Professor Morten Kringelbach. The role focuses on AI alignment for human flourishing, with a strong emphasis on theoretical and quantitative research, computational modelling, simulations, and numerical experiments.

Research areas and keywords: AI alignment, AI safety, interpretability, machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience, contemplative science, human flourishing.

What you will do: lead a research programme; manage research resources and budgets; develop ideas for research income; write funding applications; provide academic supervision for students; line-manage Research Assistants and D.Phil. students; and mentor on methods, analysis, and career development.

Eligibility highlights: applicants must hold a PhD/DPhil in a quantitative or theoretical discipline (for example machine learning, computer science, mathematics, statistics, physics, or theoretical neuroscience) and have significant post-qualification research experience. Experience linking theoretical work to AI safety, interpretability, or alignment is required, and an established publication record and international reputation are expected. Strong scientific-programming skills are desirable.

Funding and location: the post is funded for 5 years and is based at the Centre for Eudaimonia & Human Flourishing, Stoke House, Oxford. The role is offered on a flexible hybrid basis with a minimum of 2.5 days on site each week.

Application window: closing date is 24 September 2026 at 12:00 midday.

How to apply: submit an online application via the University of Oxford recruitment portal. Upload a covering letter/supporting statement, CV, and details of two referees. Review the application process information on the Oxford jobs page before applying.

Funding details

The post is funded for 5 years. It is a salaried postdoctoral research position at the University of Oxford; no stipend amount or tuition coverage is stated.

What's required

Applicants must hold a PhD/DPhil in a quantitative or theoretical discipline such as machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience, or a closely related field. Significant post-qualification research experience is required, along with experience connecting theoretical work to AI safety, interpretability, or alignment. An established international reputation and publication record are expected, and strong scientific-programming proficiency for computational models, simulations, and numerical experiments is desirable.

How to apply

Apply online through the University of Oxford recruitment portal. Upload a covering letter/supporting statement, CV, and details of two referees. Use the application link provided in the post before the closing date.

More information can be found here

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