University of Oxford 
Oxford, United Kingdom Resumo da oferta
The University of Oxford seeks a Senior Researcher in Probabilistic Machine Learning for AI Governance to join the Bayesian Governance Lab within the Department of Engineering Science. This full-time, two-year fixed-term position focuses on evaluating and monitoring AI systems using sequential Bayesian inference and experimental design. The successful candidate will lead research on Bayesian methods, publish findings, manage open-source software, translate results into policy outputs, and supervise students. Applicants must hold a PhD or DPhil in machine learning, statistics, or a related field, with post-qualification experience and a strong publication record. Specialist knowledge in Bayesian machine learning, such as Gaussian processes or sequential inference, is required. Familiarity with AI governance is desirable. The role offers a salary of £49,119 to £59,955 per annum, with potential consideration for less experienced candidates at a lower grade. Applications close on November 10, 2026.
Gerado a partir do conteúdo guardado da oferta. Confirme sempre os detalhes no anúncio oficial.
Descrição do projeto
Senior Researcher in Probabilistic Machine Learning for AI Governence
central Oxford
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). Only applications received before midday on 10 November 2026 can be considered. You will be required to upload a CV, a supporting statement and the details of two referees as part of your online application. 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 Person : | Maike Osborne | Vacancy ID : | 189274
Contact Phone : | Closing Date & Time : | 10-Nov-2026 12:00
Pay Scale : | RESEARCH GRADE 8 | Contact Email : | maike.osborne@eng.ox.ac.uk
Salary (£) : | Grade 8 £49,119 - £59,955 per annum
