"Research Associate on Online Algorithms"

About the Role

We are seeking a highly motivated Research Associate to join our team 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 (such as the k-server problem or the dynamic optimality conjecture), and the development of universal techniques for designing learning-augmented algorithms.

About Us

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our commitment to innovation drives us to tackle complex technological and societal challenges.

What We Offer

As an employer, we genuinely care about our employees’ wellbeing, reflected in the range of benefits that we offer including:

• Excellent contributory pension scheme
• 38 days annual leave (including public holidays) – pro rata for part time jobs
• Family leave schemes
• Cycle loan scheme and discounted public transport

The successful candidate will work onsite in the Department of Computer Science buildings in central Oxford, however remote and flexible working can be considered.

Diversity

Committed to equality and valuing diversity.

Application Process

You will be required to upload a supporting statement and an up-to-date CV as part of your online application.

Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.

While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.

The closing date for applications is midday on 21st April 2026. Interviews are expected to be held in late April or early May.