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University of Oxford

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Postdoctoral Research Assistant in Agentic AI Safety and Security at the University of Oxford University of Oxford in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral research assistant position funded by Coefficient Giving and fixed-term until 30 June 2027.

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Electrical Engineering
Information Technology
Artificial Intelligence
Robotics
Computer Security
ML

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About this position

We are seeking a full-time Postdoctoral Research Assistant to join the Torr Vision Group in the Department of Engineering Science, University of Oxford (central Oxford, United Kingdom).

The project is focused on AI safety, AI security, adversarial robustness, and the control of advanced agentic AI systems. The research will study frontier models that interact with operating systems, APIs, software tools, other agents, and complex environments, moving beyond text generation toward systems that can plan, pursue objectives, and execute long-horizon tasks.

Key topics include agent hijacking, prompt injection, adversarial manipulation, unsafe tool use, oversight evasion, and transferable attacks across agents, models, tasks, and environments. The role also emphasizes building agentic systems that can autonomously discover, test, and evaluate general attack strategies to identify systematic vulnerabilities.

Applicants should have a PhD or be near completion in Computer Science, AI, Security, or a related field. A strong background in machine learning and/or computer security is expected, together with experience working with LLMs or agent-based systems.

The post is funded by Coefficient Giving and is fixed-term until 30 June 2027. Informal enquiries may be sent to [email protected]. The post mentions that the application link is in the comments.

Funding details

Full-time postdoctoral research assistant position funded by Coefficient Giving and fixed-term until 30 June 2027.

What's required

Applicants should have a PhD or be near completion in Computer Science, AI, Security, or a related field. A strong background in machine learning and/or computer security is required, along with experience working with LLMs or agent-based systems.

How to apply

Read the linked post and contact [email protected] for informal enquiries. The post says to see the link in the comments for application details.

More information can be found here

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