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Research Associate on AI Threat Detection
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spatial: Computer Science - Robert Hooke Building, Parks Road, Oxford
application closing date: 2025-01-14T12:00:00+00:00
contact: HR Coordinator
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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. 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. 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 Athe…
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. 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. 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 …
type: Vacancy
application opening date: 2024-12-04T09:00:00+00:00
salary: Grade 7: £38,674 - £46,913 p.a. with the potential to underfill at Grade 6 with salaries in the range of £34,982 - £40,855 p.a.
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further particulars: 176949 Job description and selection criteria
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176949 Job description and selection criteria
value: _________________________________________________________________________ University of Oxford Department of Computer Science Job description and selection criteria Job title 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 7: £38,674 - £46,913 p.a. with the potential to underfill at Grade 6 with salaries in the range of £34,982 - £40,855 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 176949 Additional information Candidates will be considered with strong potential and commitment who are seeking an opportunity for early research experience, for which an initial appointment would be at Grade 6 £34,932 - £40,855 p.a. with the responsibilities adjusted accordingly. This would be discussed with applicants at interview/appointment where appropriate. Research topic Threat Detection for Cybersecurity of Organisations Using AI Principal Investigator / Prof Sadie Creese (Computer Science) / Prof Michael Goldsmith supervisor (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 Martin Programme on AI Threat Detection aims to fill a critical gap in AI s…
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