Senior Research Associate in AI Threat Detection
£48,235 - £57,255 a year - Full-time, Fixed term contract
Job details
Here’s how the job details align with your profile.
Pay
£48,235 - £57,255 a year
Job type
Full-time
Fixed term contract
Location
Oxford OX1 3PJ
Full job description
We are seeking a full-time Senior Research Associate to join the Machine Learning Research Group at the Department of Engineering Science (central Oxford). The post is funded by the Oxford Martin School and is fixed-term to the 31st August 2026.
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.
You will lead the development of a test framework including a library of target AI models and training datasets. You will also lead development and implementation of algorithms for logging AI response to security threats.
You should hold a relevant PhD/DPhil and post-qualification research experience. You should also have experience with a range of machine learning techniques, appropriate for analysing patterns in large data sets.
Informal enquiries may be addressed to Steve Roberts (email: sjrob@robots.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 the 6th January 2025 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.
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