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Research Associate on AI Cybersecurity
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application closing date: 2025-01-21T12:00:00+00:00
further particulars: 177373 Job description and selection criteria
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comment: The Global Cybersecurity Capacity Centre (GCSCC) at the Department of Computer Science is looking to employ a Research Fellow to work within an interdisciplinary team on AI cybersecurity research. Primarily funded by the UK Foreign, Commonwealth and Development Office, the GCSCC is a programme of the Oxford Martin School, which specialises in supporting interdisciplinary research communities working to address the most pressing global challenges and opportunities of the 21st century. The successful candidate will report to the Principal Investigator. The post holder is a member of a research group providing day-to-day supervision for research assistants. The post holder is responsible for their own grant funded research project within a discrete area of a wider research programme. The key focus of this role will be to support the research programme of the GCSCC across the three primary task areas outlined below, but primarily focusing on **Task 2**. Each task is framed by a key challenge question: 1\. How are each of the different types of AI / ML models vulnerable to cyber- attack, and can we predict outcomes of cyber-attacks based on knowledge of the specific model and training dataset being used? 2. What is the nature of harm that is faced when AI-systems are attacked, and how might the risk propagate through organisations, supply-chains and ecosystems? 3. What AI cybersecurity capacity should nations and organisations be prioritising for investment? Project website is https://gcscc.ox.ac.uk/ 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 with post- qualification research experience. You will be required to upload a supporting statement, CV and the details of two referees as pa…
comment: The Global Cybersecurity Capacity Centre (GCSCC) at the Department of Computer Science is looking to employ a Research Fellow to work within an interdisciplinary team on AI cybersecurity research. Primarily funded by the UK Foreign, Commonwealth and Development Office, the GCSCC is a programme of the Oxford Martin School, which specialises in supporting interdisciplinary research communities working to address the most pressing global challenges and opportunities of the 21st century. The successful candidate will report to the Principal Investigator. The post holder is a member of a research group providing day-to-day supervision for research assistants. The post holder is responsible for their own grant funded research project within a discrete area of a wider research programme. The key focus of this role will be to support the research programme of the GCSCC across the three primary task areas outlined below, but primarily focusing on Task 2. Each task is framed by a key challenge question: 1. How are each of the different types of AI / ML models vulnerable to cyber-attack, and can we predict outcomes of cyber-attacks based on knowledge of the specific model and training dataset being used? 2. What is the nature of harm that is faced when AI-systems are attacked, and how might the risk propagate through organisations, supply-chains and ecosystems? 3. What AI cybersecurity capacity should nations and organisations be prioritising for investment? Project website is https://gcscc.ox.ac.uk/ 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 with post-qualification research experience. You will be required to upload a supporting statement, CV and the details of two referees as part of y…
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177373 Job description and selection criteria
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value: _________________________________________________________________________ University of Oxford Department of Computer Science Job description and selection criteria Job title Research Associate on AI Cybersecurity 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 March 2026 Reporting to Professor Sadie Creese Vacancy Reference 177373 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 GCSCC AI Cybersecurity Research – Key Capacity Challenges Principal Investigator / Professor Sadie Creese / Professor Michael Goldsmith supervisor Funding partner The funds supporting this research project are provided by the Foreign, Commonwealth & Development Office Project web site https://gcscc.ox.ac.uk/ Overview of the role The Global Cybersecurity Capacity Centre (GCSCC) at the Department of Computer Science is looking to employ a Research Fellow to work within an interdisciplinary team on AI cybersecurity research. Primarily funded by the UK Foreign, Commonwealth and Development Office, the GCSCC is a programme of the Oxford Martin School, which specialises in supporting interdisciplinary research communities working to address the most pressing global challenges and opportunities of the 21st century. The successful candidate will report to the Principal Investigator. The post holder is a member of a research group providing day-to-day supervision …
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