Research Associate On Ai Threat Detection

Computer Science - Robert Hooke Building, Parks Road, Oxford The Department of Computer Science is looking to employ a Postdoctoral Researcher to work within an interdisciplinary team on AI Threat Detection.
The successful candidate will work as part of a project team, consisting of researchers in the departments of Engineering and Computer Science, supporting the Oxford Martin Programme on AI Threat Detection, as well as engaging across the wide local network of experts in AI, cybersecurity, AI safety & governance.
The Oxford Martin Programme on AI Threat Detection aims to fill a critical gap in AI security by developing advanced methods to detect attacks on AI systems.
While much research focuses on preventing AI vulnerabilities, there is currently no way to effectively detect when systems have been compromised.
The programme will create a continuous monitoring tool to identify threatening activity across AI data inputs, learning models, and algorithms.
By researching optimal detection methods and building a database of attack-response information, the programme seeks to improve the accuracy and resilience of AI threat detection in various organisational contexts.
The successful candidate will be required to work primarily under the direction of Professor Sadie Creese and the supervision of Professor Michael Goldsmith, with guidance from other senior academics.
It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in a cybersecurity-relevant field (e.g.
computer science, international relations, economics, political science, social or physical sciences, philosophy, cognitive or social psychology, law, anthropology, development or sociology), together with relevant experience.