Research Associate on Geometric ML Job in University of Oxford

Research Associate On Geometric Ml

Oxford, ENG, GB, United Kingdom

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

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Job Description

The Department of Computer Science, University of Oxford, is currently looking for one outstanding candidate to fill a role of a Researcher Associate in Geometric ML.

The post holder, reporting to Prof Michael Bronstein, will be a member of a research group providing day-to-day supervision for research assistants on the topics of geometric ML and generative models. The post holder is expected to develop their own research programme relevant to the activity of the group. There will also be opportunities of collaboration with the Aithyra, the OAW Research Institute for Biomedical AI in Vienna, Austria.

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 Michael Bronstein.

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 27th August 2025. Interviews are expected to be held in September.

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