Senior Research Associate on AI Threat Detection
notation: 176971
subject: research
spatial: Computer Science - Robert Hooke Building, Parks Road, Oxford
application closing date: 2025-01-14T12:00:00+00:00
application opening date: 2024-12-04T09:00:00+00:00
further particulars: 176971 Job description and selection criteria
organization part: Cyber Security Centre
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comment: 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. You will have a doctoral degree and post-qualification research experience 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). 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 c…
contact: HR Coordinator
comment: 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. You will have a doctoral degree and post-qualification research experience 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). 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 inclus…
based near: The Robert Hooke Building
formal organization: University of Oxford
type: Vacancy
salary: Grade 8: Salary range between £48,235- £57,255 per annum (with the potential to under-fill at Grade 7 with salaries in the range of £38,674 - £46,913 p.a.)

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176971 Job description and selection criteria
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value: _________________________________________________________________________ University of Oxford Department of Computer Science Job description and selection criteria Job title Senior Research Associate on AI Threat Detection Division Mathematical, Physical and Life Sciences (MPLS) Department Computer Science Location Robert Hooke Building, Parks Road, Oxford Grade and salary Grade 8: Salary range between £48,235- £57,255 per annum (with the potential to under-fill at Grade 7 with salaries in the range of £38,674 £46,913 p.a.) Hours Full time (part time can be considered) Contract type Fixed term contract until 31 August 2026 Reporting to Professor Sadie Creese Vacancy Reference 176971 Additional information Whilst the role is a Grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a development opportunity, for which an initial appointment would be at Grade 7 (Grade 7: £38,674 - £46,913 p.a.) with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate. Research topic Principal Investigator supervisor Threat Detection for Cybersecurity of Organisations Using AI / Prof Sadie Creese (Computer Science) / Prof Michael Goldsmith (Computer Science) / Prof Stephen Roberts (Engineering Science) Funding partner The funds supporting this research project are provided by the Oxford Martin School (https://www.oxfordmartin.ox.ac.uk/) Project web site www.gcscc.ox.ac.uk/ Overview of the role 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 …

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