Research Assistant / Associate in AI Evaluation and Safety
Join the University of Cambridge to establish safety red lines and evaluation frameworks for advanced AI systems.
Best for:Best for postdoctoral researchers or advanced scholars with expertise in AI safety, statistical modelling, and cognitive profiling.
Overview
The Leverhulme Centre for the Future of Intelligence (CFI) and the Institute for Technology and Humanity (ITH) at the University of Cambridge invite applications for two full-time Research Assistant or Research Associate positions. Successful candidates will contribute to a pioneering project focused on setting safety red lines for artificial intelligence using cognitive capability and propensity profiles. Drawing on disciplines including AI safety, Bayesian statistics, causal modelling, psychology, and governance, appointees will help evaluate AI risks and engage with interdisciplinary researchers, policymakers, and industry partners. The fixed-term appointment lasts for 24 months, with an ideal start date of December 1st or soon after.
What you'll do
- Conduct interdisciplinary research on establishing red lines for artificial intelligence using cognitive capability and propensity profiles.
- Develop and apply methodologies for AI evaluation drawing from technical AI safety, statistics, and psychology.
- Collaborate with researchers across artificial intelligence, causal modelling, and AI governance domains.
- Prepare research findings for publication, presentation, and dissemination to academic, industry, and policy stakeholders.
- Contribute to the broader academic activities and collaborative network of the Leverhulme Centre for the Future of Intelligence.
Requirements
Degree required: BSc/MSc for Research Assistant; PhD awarded or submitted for Research Associate
Language: English
Instruction: English
- Demonstrated background in artificial intelligence, technical AI safety, statistics, psychology, or a related discipline
- Experience with quantitative research methods, Bayesian statistics, or causal modelling
- Strong analytical and problem-solving skills applied to complex technical or behavioral systems
- Ability to work collaboratively within an interdisciplinary research team
- Must ensure eligibility to live and work in the UK
Funding & terms
How to apply
Deadline: 2026-11-01 (Europe/London)
Submit your application online through the University of Cambridge vacancy portal by the closing date. Ensure all requested documents, including a CV, a cover letter of under 1,000 words detailing relevant experience, and contact details for two referees, are uploaded. Quote reference GO51404 in your application and any related correspondence.
- CV
- Cover letter
- 2 reference contacts
Contact
Jose Hernandez-Orallo· Professor
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