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Ph.D. On Campus

Vision, Speech and Signal Processing

University of Surrey

48 months
Duration
21400 GBP/year
4327 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Vision, Speech and Signal Processing PhD programme at the University of Surrey aims to advance the state-of-the-art in audio-visual signal processing, computer vision and machine learning, with a focus on image, video and audio applications. 

Overview

Why choose this course

At the Centre for Vision, Speech and Signal Processing (CVSSP) we’re developing exciting and ground-breaking technologies, from facial recognition for security and medical imaging through to 3D spatial audio and 3D reconstruction from video for visual-effects production in films, games and virtual reality. Our research is creating machines that can see, hear and understand the world around them.

The Centre is one of the largest audio and vision research groups in Europe, and we’re internationally recognised for our pioneering research and novel technologies in audio-visual machine perception. We bring together a unique combination of cutting-edge sound and vision expertise with over 120 researchers, and currently have over £18 million in research grants.

Our audio-visual research facilities are cutting-edge, and include a unique multiple UltraHD performance capture studio and high-performance computing capabilities for real-time analysis and machine learning.

What you will study

You can take a maximum of four years of full-time study to complete Vision, Speech and Signal Processing PhD programme at the University of Surrey. After 12 months, you’ll write a confirmation report, which is assessed by two independent examiners. After that, you’ll submit a written PhD thesis after a minimum of three years of full-time study. We’ll work with you to make a detailed evaluation of your progress and future research plans every six months to help you keep on track to successfully complete your PhD.

Programme Structure

Research themes

Our research activities within the CVSSP are grouped into the following labs:

  • The A-Lab focuses on machine audition, developing audio signal processing technology relating to speech recognition, and blind source separation.
  • The B-Lab focuses on biometric and security related technologies, specialising in facial biometrics and lip tracking.
  • The C-Lab focuses on cognitive systems, covering a broad range of technologies relating to visual interaction with computers. These include sign language recognition and robotics.

Key information

Duration

  • Full-time
    • 48 months
  • Part-time
    • 96 months

Start dates & application deadlines

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

Applicants are expected to hold a first or upper-second class degree in a relevant discipline (or equivalent overseas qualification), or a lower second plus a good Masters degree (distinction normally required).

Tuition Fee

To alway see correct tuition fees
  • International

    21400 GBP/year
    Tuition Fee
    Based on the tuition of 21400 GBP per year during 48 months.
  • EU/EEA

    4327 GBP/year
    Tuition Fee
    Based on the tuition of 4327 GBP per year during 48 months.

Part time:

  • EU/EEA £2,163.50
  • NON-EU/EEA £10,700

Living costs for Guildford

660 - 1140 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

A Postgraduate Doctoral Loan can help with course fees and living costs while you study a postgraduate doctoral course.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Vision, Speech and Signal Processing
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University of Surrey

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