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Research Associate on Optimisation for Game Theory and Machine Learning, Oxford
Client:
University of Oxford
Location:
Oxford, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
c9de8a67c95b
Job Views:
4
Posted:
25.08.2025
Expiry Date:
09.10.2025
Job Description:
We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul Goldberg and will contribute to an ongoing EPSRC-funded project titled Optimisation for Game Theory and Machine Learning. The research associate will be based at Oxford and will work with Prof. Goldberg and members of his group. This is a one-year fixed-term position starting from 01 November 2025 or shortly thereafter.
The research methodology involves mathematical analysis of algorithms and computational complexity, along with experimental work investigating the empirical performance of algorithms. The role is based in the Algorithms and Complexity Theory research group within the Department of Computer Science. It offers opportunities to interact and network with researchers in algorithms and computational complexity more broadly.
The successful candidate must hold a PhD or DPhil in Computer Science or Mathematics, with experience in mathematical analysis of algorithms. Ideally, this includes experience in experimental algorithmics, algorithms for continuous optimisation, or analysis of randomized algorithms. Candidates close to completing their doctoral degree will also be considered.
The post holder will have the opportunity to contribute to research development, technical problem-solving, writing results, and presenting at conferences. Although this is a Grade 7 position, we are open to candidates with potential but less experience, who may initially be appointed at Grade 6 as Research Assistant, with responsibilities adjusted accordingly. This will be discussed during the interview process.
What We Offer
* An excellent contributory pension scheme
* 38 days annual leave (pro-rata for part-time roles)
* A comprehensive range of childcare services
* Family leave schemes
* Cycle loan scheme
* Discounted bus travel and Season Ticket loans
* Membership to various social and sports clubs
Diversity
We are committed to equality and valuing diversity.
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