About

Our Centre is one of the major research centres of the Faculty of Engineering and Physical Sciences at the University of Surrey.

We were founded in 1986 by Prof. Josef Kittler within Surrey's Department of Electrical and Electronic Engineering. 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 is directed by Prof. Adrian Hilton, and is one of the largest research centres in the UK focusing on signal processing and interpretation. We have over 120 members comprising academic and support staff, postdoctoral research fellows, visitors and PhD students.

Our research income is in excess of £18.5m, with funding from EPSRC, InnovateUK, European Union, industry and charities.

Our expertise and activities span computer vision, digital signal processing, machine learning and artificial intelligence, computer graphics and human computer interaction, medical image analysis and multimedia communication.

Staff opportunities

If you're interested in working with us then please see our open vacancies below or visit the University's current vacancies page for more job opportunities.

Recruiting researchers in AI for sound

We are looking for three new researchers (two research fellows and one research engineer) to work full-time on an EPSRC-funded fellowship project “AI for sound” awarded to Professor Mark Plumbley.

The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. The idea is to bring "AI for Sound" technology out of the lab, helping to realize its potential to benefit society and the economy.

The fellowship will focus on four main application use cases:

  1. Monitoring of sounds of human activity in the home for assisted living
  2. Measuring of sounds in non-domestic buildings to improve the office and workplace environment
  3. Measuring sounds in smart cities to improve the urban environment
  4. Developing tools to use sounds to help producers and consumers of broadcast creative content.

Project partners include: Accenture Labs Dublin; Audio Analytic Ltd.; BBC R&D; Connected Places Catapult; Digital Catapult; Environment Agency; Pindrop; Samsung Al Centre Cambridge; Alan Turing Institute; and the UK Dementia Research Institute.

The fellowship is also part of AI@Surrey, an interdisciplinary network of over 300 researchers in artificial intelligence and machine learning across the University of Surrey.

Deadline

The deadline to apply for these roles is Friday 17 July 2020. For informal inquiries, please contact Professor Mark Plumbley.

CVSSP_AI_for_Sound.png

Applications are invited for a 3-year research fellow in machine learning for sound, to work full-time on an EPSRC-funded Fellowship project “AI for Sound”, to start on 1 August 2020 or as soon as possible thereafter.

The postholder will be responsible for the core machine learning parts of the project, investigating advanced machine learning methods applied to sound signals.  

The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Professor Mark Plumbley.

Deadline

Apply by Friday 17 July 2020.

Apply now

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Applications are invited for a 3-year research fellow in design research for sound sensing, to work full-time on an EPSRC-funded Fellowship project “AI for Sound”, to start on 1 August 2020 or as soon as possible thereafter.

The postholder will be responsible for participative engagement with domain experts and users, including conducting user requirements and evaluation studies on the project, both to drive the technology research, and to ensure successful development and application of the project technology.

The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Professor Mark Plumbley.

Deadline

Apply by Friday 17 July 2020.

Apply now

Students using equipment in the sound sphere

Applications are invited for a 3-year research engineer (research fellow) in sound sensing, to work full-time on an EPSRC-funded Fellowship project “AI for Sound”, to start on 1 August 2020 or as soon as possible thereafter.

The postholder will be responsible for designing and building the hardware and software to be developed in the fellowship, including sound sensor systems, open-source software libraries and datasets to be released from the project.

The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Professor Mark Plumbley.

Deadline

Apply by Friday 17 July 2020.

Apply now