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Research fellow a/b in computer vision and deep learning

Guildford
Unist
Research fellow
Posted: 1 September
Offer description

Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 4 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No


Offer Description

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

This post is part of a five-year project “SignGPT” which will build tools to allow spoken language to be automatically translated into photo-realistic sign language and video of sign language to be translated into spoken language. This project is a collaboration between the University of Surrey (Prof Bowden), the University of Oxford (Prof Zisserman) and UCL (Prof Cormier and Woll). This is a fixed term contract up to Sept 2026.

About you

The successful applicant should have a PhD in a related area with a strong track record of publishing high quality research. Previous experience of sign language recognition and translation would be advantageous would experience of supervising research. They should have good analytical and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial. Applicants are expected to be proactive, to support other researchers and to be self-motivated.

How to apply

Please upload your CV and a covering letter on the University website. Informal enquiries related to the project to Professor Richard Bowden by e-mail:r.bowden@surrey.ac.uk .

The University of Surrey reserves the right to close this vacancy early/ extend based on Volume and Calibre of applications.

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