This project is under the supervision of Professor Richard Bowden who runs the cognitive vision lab within CVSSP. He has a track record of work into various areas of computer vision which include visual tracking and the location, tracking, and understanding of humans. You will be joining a thriving research group with ongoing projects into perception for autonomous vehicles, sign language recognition/production and robotics and AI.
Depending upon the skillset of the applicant, this studentship will research and develop new deep learning approaches to either visual tracking which can be applied to video object tracking, human tracking or the application of such technology to the recognition and production of human sign and gesture.
This is a 3- year project starting in April 2022, but later start dates can be considered.
Entry requirements
All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.
English language requirements: IELTS Academic 6.5 or above (or equivalent) with 6.0 in each individual category.
How to apply
Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page on the "Apply" tab.
Please state clearly the studentship project at you would like to apply for.
For enquiries contact Prof Richard Bowden ([Email Address Removed] ) indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates). Non-native English speakers will be required to have IELTS 6.5 or above (or equivalent) with no sub-test of less than 6. Shortlisted applicants will be contacted directly to arrange a suitable time for an interview.
Further information about our research portfolio and how to apply.
About CVSSP
The Centre for Vision, Speech and Signal Processing (CVSSP) is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 1st in the UK and 3rd in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 170 researchers and a grant portfolio in excess of £27 million, bringing together a unique combination of cutting-edge sound and vision expertise. Our aim is to advance the state of the art in multimedia signal processing and computer vision, with a focus on image, video and audio applications. Our Centre has a robust track-record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, VR), communication, healthcare, robotics and consumer electronics.
CVSSP is a destination of choice for postgraduate talent and it is part of the Department of Electrical and Electronic Engineering which is ranked second in the Guardian newspaper league table 2020. The University of Surrey has recently been ranked 7th in the UK in the 2020 Advance HE Postgraduate Research Experience Survey (PRES).
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