At a Glance
- Tasks: Support groundbreaking research in AI safety and security with a focus on generative models.
- Company: Join the prestigious Department of Computer Science at Oxford University.
- Benefits: Competitive salary, pension, inclusive culture, and opportunities for flexible working.
- Other info: Diverse and inclusive environment with excellent career development opportunities.
- Why this job: Make a real impact in the future of AI while collaborating with top researchers.
- Qualifications: Master’s degree or nearing completion, with strong programming and research skills.
The predicted salary is between 39424 - 39424 £ per year.
- Department of Computer Science, Wolfson Building, Parks Road, Oxford, OX1 3QD
- One Research Assistant (RA) Position - Generative AI, AI Safety, AI Security
One post tenable immediately, to conclude October 1st 2027 with the possibility of extension depending upon successful project review and project funding.
Post offered at Grade 6 (£35,681- £39,424 per annum.
This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.).
The Department of Computer Science seeks to employ one Research Assistant (RA) to work within a research group, reporting to Prof Yarin Gal and Dr Lin Li.
The postholder will be a member of the Oxford Applied and Theoretical Machine Learning (OATML) research group with responsibility for the provision of research support for projects relating to AI technical safety, security, reliability and robustness, as well as foundational research on frontier models like Large Language Models (LLMs) and multimodal foundation models.
This includes topics such as safety alignment, adversarial training, jailbreaking, uncertainty quantification, and AI hallucination.
Candidates will be expected to have a Master’s degree (or be close to completion).
They should have knowledge of foundation models (generative AI), LLM jailbreaking, safety alignment, adversarial machine learning, or deep learning, along with strong programming skills.
Selection will also consider the ability to produce publishable research, communicate proposals and findings effectively, and represent the research group at meetings and conferences.
The closing date for applications is noon Friday 11th September 2026.
We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.
Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture.
Diversity is positively encouraged, through diversity groups and champions, for example http://www. cs. ox. ac. uk/aboutus/women-cs-oxford/index. html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.
Demonstrating a commitment to provide equality of opportunity.
We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department.
All applicants will be judged on merit, according to the selection criteria.
Salary (£) : £35,681- £39,424 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.
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Research Assistant on AI Safety in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
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We think you need these skills to ace Research Assistant on AI Safety in Oxford
Some tips for your application 🫡
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