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"Postdoctoral Research Assistant in AI + Security"

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Postdoctoral Research Assistant in AI + Security

Postdoctoral Research Assistant in AI + Security

University of Oxford - Department of Engineering Science (Central Oxford)

Location:Oxford
Salary:£39,424 to £47,779 per annum; Grade 7
Hours:Full Time
Contract Type:Fixed-Term/Contract
Placed On:4th February 2026
Closes:2nd March 2026
Job Ref:184487

We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Witt Lab for Trust in AI (OWL) in the Department of Engineering Science (Central Oxford). The post is funded by Open Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability.

You will conduct hands-on empirical research in multi-agent security and agentic AI security, focused on adversarial testing (red-teaming) and mitigation of hard-to-detect failure modes in interactive AI systems (e.g., covert communication, collusion, strategic behaviour). You will be responsible for developing and running adversarial evaluations; designing and validating mitigation strategies (system-level controls, training-time or post-training defences, and deployment safeguards); publishing results in leading venues; contributing documented software to the group library; and supporting supervision of student research projects. The postholder will have substantial ownership over one or more core research thrusts within the lab’s multi-agent security programme.

You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics, Statistics, or a closely related quantitative discipline; a track record of research output appropriate to career stage; strong empirical research skills; an adversarial/security mindset grounded in threat modelling; strong programming and research engineering ability (Python with modern ML tooling such as PyTorch/JAX) and good software practices; familiarity with interactive/agentic settings (e.g., tool-using LLM agents, reinforcement learning, multi-agent systems); and excellent communication and collaboration skills with a commitment to an inclusive, respectful research environment.

Informal enquiries may be addressed to Dr Christian Schroeder de Witt (christian.schroeder@eng.ox.ac.uk)

For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/

Only online applications received before midday on 2 March 2026 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

AI Security, Multi Agent Security, Agentic AI, Adversarial Testing/Red-Teaming, Mitigations & Safety Utility Trade-Offs

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