Research Associate on Online Algorithms

Fixed-term contract until 31 August 2027

The University of Oxford is looking for a postdoctoral research associate on the project “Challenges in Competitive Online Optimisation” supervised by Christian Coester. The project is funded by the European Research Council (ERC).

The project aims to tackle central challenges in the fields of online algorithms and learning-augmented algorithms. Goals of the project include the advancement of algorithmic design and analysis techniques with potential impact on long-standing open problems in online algorithms, and the development of universal techniques for designing learning-augmented algorithms.

The successful candidate will report to the Principal Investigator. The post holder will be a member of a research group providing day-to-day supervision for research assistants. The post holder will be responsible for their own grant funded research project within a discrete area of a wider research programme.

It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in Computer Science or a related mathematical discipline.

This position is on-site. Working hours can be flexible subject to the line manager’s approval.

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 22^nd April 2025. Interviews are expected to be held in May.

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 returning from periods of extended absence, for example shared parental leave.

Demonstrating a commitment to provide equality of opportunity, we would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.

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