Department of Electrical & Electronic Engineering, University of Surrey is inviting applications for six PhD Studentships in Vision, Speech and Signal Processing. These studentships are for UK and EU countries students.
The studentships main 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.
Level/Field of Study
PhD Studentships are awarded in the fields of:
- 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
- Virtual and Augmented Reality
University of Surrey, UK
Value/Duration of Award
These 3-year PhD studentships will cover Home/EU fees, a tax-free maintenance grant of up to £14,296 per annum and contribution to travel costs to present your research at national and international conferences. Enhanced stipends £19,000 per annum are available on industry supported collaborative PhD research projects. Studentships are also open to overseas students provided they can support the difference between home and overseas fees (£15,880).
Six studentships will be awarded.
UK and EU students can apply for these positions.
All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) and a strong interest in pursuing research in this field.
Entrance Requirement: Applicants should have (or expect to obtain) a first-class degree
English Language Requirement: 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.
How to Apply
For enquiries contact N.Bennett@surrey.ac.uk indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates). Shortlisted applicants will be contacted directly to arrange a suitable time for an interview.
Application Deadline: The application deadline is July 15, 2017.
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