Senior Researcher in Probabilistic Machine Learning for AI Governance
Lead cutting-edge research on Bayesian methods for AI system evaluation and governance in Oxford’s Bayesian Governance Lab.
Best for:Best for experienced researchers with a PhD in machine learning, statistics, or a related field, specializing in Bayesian methods and AI governance.
Overview
This position offers a fixed-term opportunity for a Senior Researcher to join the Bayesian Governance Lab at the University of Oxford, led by Professor Maike Osborne. The role focuses on developing Bayesian methods for evaluating and monitoring AI systems, addressing the challenges posed by rapidly evolving AI technologies. The successful candidate will conduct research, publish findings, lead open-source software development, and collaborate with policymakers to translate results into actionable governance frameworks. The position emphasizes expertise in Bayesian machine learning, applied probability, and AI governance, with a strong emphasis on both technical and policy-oriented contributions.
What you'll do
- Develop and lead research on Bayesian methods for evaluating and monitoring AI systems.
- Publish research findings in high-impact academic journals and conferences.
- Lead the development and maintenance of the lab’s open-source software tools.
- Translate research results into policy-relevant outputs and recommendations.
- Supervise and mentor research assistants and students in the lab.
- Collaborate with the Oxford Martin AI Governance Initiative on governance-related projects.
Requirements
Degree required: PhD/DPhil in machine learning, statistics, or a closely related discipline
Language: English (proficiency required for research and communication)
Instruction: English
Publications: Strong publication record in machine learning, statistics, or related fields
- Specialist knowledge of Bayesian machine learning (e.g., Gaussian processes, sequential inference, Bayesian optimization)
- Post-qualification research experience in machine learning or statistics
- Strong publication record in relevant fields
- Familiarity with AI system evaluation or governance
- Experience with open-source software development
- Open to candidates with potential but less experience, who may start at a lower grade with a development plan
Funding & terms
How to apply
Deadline: 2026-11-10 (Europe/London)
Applicants must submit a CV, a supporting statement, and the details of two referees through the University of Oxford’s online application portal. Informal inquiries can be directed to Professor Maike Osborne via email.
- CV
- Supporting statement
- Details of two referees
Contact
Maike Osborne· Professor
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