Research Associate in Computer Vision Job in University of Oxford

Research Associate In Computer Vision

Oxford, ENG, GB, United Kingdom

https://www.mncjobs.co.uk/company/university-of-oxford

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Job Description

We are excited to offer this Research Associate position at the University of Oxford, under the supervision of Professor Ronald Clark. The post holder will join the Perceptual Intelligence and Extended Reality Lab (PIXL) to work on an ARIA-funded project at the intersection of Computer Vision and Climate Science.

In this project we are developing a new approach for estimating a dynamic, four-dimensional digital twin of the atmosphere using a ground-based array of stereo cameras and sensors. The post-holder will contribute across the research lifecycle from dataset curation to the design of novel computer vision models. Flexible working This post is based at the Department of Computer Science and on-site working is required. Remote working is possible in agreement with the PI.

This post is based at the Department of Computer Science and on-site working is required. Remote working can be possible in agreement with Professor Ronald Clark.

What We Offer

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

An excellent contributory pension scheme

38 days annual leave (pro-rata for part-time jobs)

A comprehensive range of childcare services

Family leave schemes

Cycle loan scheme

Discounted bus travel and Season Ticket travel loans

Membership to a variety of social and sports clubs

Diversity

Committed to equality and valuing diversity.

Application Process

You will be required to upload an up-to-date CV and a supporting statement together with your research statement 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 noon on 9th September 2025. Interviews are expected to be held in September.

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