Research Associate on AI Threat Detection

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 computer science or information systems.
You will be required to upload a supporting statement, CV and the details of two referees as part of your online application.

The closing date for applications is 12 noon on 14th January 2025. Interviews are expected to be held in January.

We are a Stonewall Top 100 Employer, Living Wage, 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.