PhD Studentship Opportunity in Computer Vision and Deep Learning for Automatic Sign Language Recognition, Translation and Production

University of Surrey

Faculty of Engineering and Physical Sciences

Project Description

Applications are invited for a fully funded PhD studentship within the Centre for Vision Speech and Signal Processing at the University of Surrey. The funding is for a three-year research programme leading to the degree of PhD. The project will develop computer vision approaches to recognising and translating sign language into spoken language using AI and deep learning, specifically sequence to sequence models.

This studentship is part of a larger project funded by the Swiss National Science Foundation (SNSF) called SMILE2 and is a successful continuation of our previous collaboration between the University of Surrey, IDIAP, HfH Zurich and the University of Zurich.

This is a 4 year project starting as soon as possible on or after 1 January 2021.

Funding Information

The studentship covers the University tuition fees (at EU/UK level) and provides an annual tax-free stipend (rate for 2020-2021 is £15,285 p.a. tax-free). It will also cover UK/EU fees. For exceptional candidates there is the opportunity that an additional bursary can be provided for the overseas tuition fees (currently £22K from Oct 2020) for students who are outside of the EU.

Eligibility Requirements

A First Class or Upper Second Honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g., engineering, computer science, signal processing, applied mathematics, physics). You should be able to demonstrate excellent mathematical, analytic, programming skills. Previous experience in computer vision, machine/deep learning, or augmented reality would be advantageous. Experience of any national sign language would also be of great value.

Application Process

Informal enquiries should be sent to [email protected]
Formal applications should be made through the Vision, Speech and Signal Processing PhD course page making clear reference to the post and “Prof Bowden (CVSSP)”

To apply for this PhD, please use the following application link: