We are seeking a highly motivated Postdoctoral Research Associate in Computer Vision to join the Visual Geometry Group (Central Oxford), funded by ERC.

Reporting to the Principal Investigator, you will help ensure a healthy and vibrant research environment within the Visual Geometry Group. This will involve conducting projects in computer vision research, including the work involved in the collaborations with project partners.

Informal enquiries may be addressed to Prof Christian Rupprecht at christian.rupprecht@cs.ox.ac.uk.

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.

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

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

Committed to equality and valuing diversity.

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 26th June 2026 . Interviews are expected to be held in early July.