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Research Associate in Generative AI
application closing date: 2025-03-17T12:00:00+00:00
comment: The Department of Computer Science is looking to employ a Research Associate to work within a research group, reporting to Prof Yarin Gal. The post holder will be a member of the Oxford Applied and Theoretical Machine Learning (OATML) research group with responsibility for leading research for projects in Generative AI. Conducting original research, you will develop fundamental methodologies and tools in the context of real-world Generative AI challenges. As a Postdoctoral Researcher, you will lead and contribute to projects aimed at developing principled and practical methods which could be used in real systems. This research requires coping with challenges such as intractable probabilistic inference and robustness. The project will involve both theoretical work as well as empirical analysis on challenging tasks. In addition to research, this role will also assist in providing day-to-day supervision for DPhil students and research assistants, as well as support of grant applications and ongoing grant progress reporting. Project website is https://oatml.cs.ox.ac.uk It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion with post-qualification research 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 17th March 2025.** Interviews are expected to be held in March. **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 sta…
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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application opening date: 2025-01-10T09:00:00+00:00
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comment: The Department of Computer Science is looking to employ a Research Associate to work within a research group, reporting to Prof Yarin Gal. The post holder will be a member of the Oxford Applied and Theoretical Machine Learning (OATML) research group with responsibility for leading research for projects in Generative AI. Conducting original research, you will develop fundamental methodologies and tools in the context of real-world Generative AI challenges. As a Postdoctoral Researcher, you will lead and contribute to projects aimed at developing principled and practical methods which could be used in real systems. This research requires coping with challenges such as intractable probabilistic inference and robustness. The project will involve both theoretical work as well as empirical analysis on challenging tasks. In addition to research, this role will also assist in providing day-to-day supervision for DPhil students and research assistants, as well as support of grant applications and ongoing grant progress reporting. Project website is https://oatml.cs.ox.ac.uk It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion with post-qualification research 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 17th March 2025. Interviews are expected to be held in March. 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 retur…
notation: 177367
further particulars: 177367 Job description and selection criteria
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177367 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 in Generative AI Division Mathematical, Physical and Life Sciences (MPLS) Department Computer Science Location Wolfson 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 Contract type Fixed-term for 12 months with the possibility of extension Reporting to Professor Yarin Gal Vacancy Reference 177367 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 Generative AI Principal Investigator / Yarin Gal supervisor Project team Oxford Applied and Theoretical Machine Learning group Project web site https://oatml.cs.ox.ac.uk Funding partner The funds supporting this research project are provided by UKRI Recent publications Shumailov, I., Shumaylov, Z., Zhao, Y., Papernot, N., Anderson, R., Gal, Y. AI models collapse when trained on recursively generated data. Nature 631, 755–759 (2024) Farquhar, S., Kossen, J., Kuhn, L. Gal, Y. Detecting hallucinations in large language models using semantic entropy. Nature 630, 625–630 (2024) Overview of the role Reporting to Prof Yarin Gal. The post holder will be a member of the OATML research group with responsibility for leading research for projects in Generative AI. Conducting original research, you will develop fundamental methodologies and tools in the context of real-world Generative AI challenges. As a Postdoctoral Researcher, you will lead and contribute to projects aimed at developin…
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