9 CVSSP PhD Studentships (Fully Funded) - Starting 2018/19
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, is developing some of the most exciting and ground-breaking technologies from facial recognition for security and medical imaging understanding for cancer detection, through to 3D Spatial Audio and 3D reconstruction from video to enable visual-effects production in films and VR and right now we are offering outstanding candidates the opportunity to come and join us.
We are looking for committed and enthusiastic applicants who want to be part of a rich and stimulating research environment where you will be encouraged to contribute to advancing the state-of-the art through publication and by participating in leading international forums. Secondments are greatly encouraged during the course of the PhD to broaden experience and to ensure research is kept relevant to real-world problems.
CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning. Our Centre is one of the largest in Europe with over 120 researchers and a grant portfolio in excess of £18.5million, 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), mobile communication, healthcare, robotics and consumer electronics.
Funding is available for up to 9 PhD studentships starting 2018/2019 in the following areas of research:
- Audio-visual Signal Processing
- Computer Vision
- Machine Learning
- Data Science for Media
- Computational Photography and 3D Video
- Spatial Audio and Machine Audition
- Robot Vision and Autonomous Systems
- Biometrics and Surveillance
- Medical Image Analysis and Healthcare Technology
- Multimedia Communication Systems
- Digital Doubles and Free-viewpoint Video
- Vision and Audio for TV, Film, Games, Virtual and Augmented Reality
CVSSP is part of the Department of Electrical and Electronic Engineering and has -been ranked third in the UK in the Guardian newspaper league table 2017. The Department of Electrical and Electronic Engineering achieved a 92.9% overall satisfaction for NSS 2017 and is rated seventh in the UK for Electronic Engineering in the The Complete University Guide 2018
Funding available: These 3-year PhD studentships will cover Home/EU university tuitionfees, a tax-free maintenance grant of up to £14,553 per annum and contribution to travel costs to present your research at national and international conferences. Studentships are open to overseas students provided they can support the difference between home and overseas fees (£15,805).
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.
How to Apply: For enquiries contact Mrs Nan Bennett (N.Bennett@surrey.ac.uk ) indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates). Non-native speakers of English will normally 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. For further information about our research portfolio and how to apply visit: www.surrey.ac.uk/centre-vision-speech-signal-processing
We acknowledge, understand and embrace diversity. Closing Date: 2018 PhD Studentships will be allocated to outstanding candidates on a priority basis subject to availability. Applications should be made as early as possible. Closing date for applications 15th July for October 2018 entry.