Senior Researcher in Probabilistic Machine Learning for AI Governence Closing date: Nov 10, 2026 in Oxford

Senior Researcher in Probabilistic Machine Learning for AI Governence Closing date: Nov 10, 2026 in Oxford

Oxford Full-Time On-site
University of Oxford, Department of Engineering Science

Oxford, United Kingdom

ENGINEERING SCIENCE

Careers

Senior Researcher in Probabilistic Machine Learning for AI Governence

Salary

Grade 8 £49,119 - £59,955 per annum

Closing date

Nov 10, 2026 12:00PM

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Description

We are seeking a full-time Senior Researcher to join the Bayesian Governance Lab, led by Professor Maike Osborne, in the Department of Engineering Science (central Oxford), working in close collaboration with the Oxford Martin AI Governance Initiative. The post is fixed-term for two years.

The AI systems that most demand assurance learn, act and change by the week, so evaluating them is a problem of sequential Bayesian inference and experimental design rather than of static benchmarking. You will lead a strand of research on Bayesian methods for the evaluation and monitoring of AI systems, publish your findings, lead the lab’s open-source software, translate results into policy-facing outputs, and guide research assistants and students.

You should hold a PhD/DPhil in machine learning, statistics or a closely related discipline, with post-qualification research experience and a strong publication record, and have specialist knowledge of Bayesian machine learning or applied probability (for example Gaussian processes, sequential inference or Bayesian optimisation). Familiarity with the evaluation or governance of AI systems is desirable.

Whilst the role is a grade 8 £49,119 - £59,955 per annum, we would be willing to consider candidates with potential but less experience or qualification who are seeking a development opportunity, for which an initial appointment would be at grade 7 £39,424 - £47,779 per annum where the individual will undertake all the duties but with increased supervision and/or less responsibility. Where a post is underfilled, a development plan will be put in place stating clear milestones which must be met by the individual in order to be promoted to the substantive grade.

Informal enquiries may be addressed to Professor Maike Osborne (maike.osborne@eng.ox.ac.uk).

The Department holds an Athena Swan Bronze award in recognition of its commitment to gender equality.

Keywords: Bayesian inference; Gaussian processes; machine learning; AI governance; AI evaluation

Contact name

Maike Osborne

Contact email

maike.osborne@eng.ox.ac.uk

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Senior Researcher in Probabilistic Machine Learning for AI Governence Closing date: Nov 10, 2026 in Oxford employer: University of Oxford, Department of Engineering Science

As a Senior Programme Manager at BOLD Lab, you will be part of a dynamic and collaborative work culture that prioritises scientific excellence and innovation. Our commitment to employee growth is reflected in our supportive environment, where you will have the opportunity to lead impactful projects and develop your skills alongside esteemed academic and professional teams. Located in a vibrant academic setting, we offer unique advantages such as access to cutting-edge research facilities and a network of external partners dedicated to fostering sustainable growth.

University of Oxford, Department of Engineering Science

Contact Details:

University of Oxford, Department of Engineering Science Recruitment Team