CVSSP studentship opportunities

We are looking for committed and enthusiastic applicants who want to be part of a rich and stimulating research environment where you will be able to contribute to advancing the state-of-the-art through publications and by participating in leading international forums. Secondments with industry and international groups are encouraged during the programme to broaden your experience and to ensure our research is kept relevant to real-world problems.

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. We bring together a unique combination of cutting-edge sound and vision expertise with more than 170 researchers, and we’ve currently attracted more than £30million in research grants. Our aim is to advance machine perception by combining artificial intelligence and multi-modal sensing to enable machines to see, hear and understand the world around them. Our Centre has an outstanding track record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, virtual and augmented reality), mobile communication, healthcare, robotics, autonomous vehicles and consumer electronics.

Funding is available for up to ten PhD studentship opportunities starting July/October 2022 and January 2023 in the following areas of research:

• Audio-visual AI
• Computer vision
• Machine learning
• Data science for media
• Computational photography, 3D and 4D video
• Spatial audio and machine audition
• Robot vision and autonomous systems
• Biometrics and surveillance
• Medical imaging analysis and healthcare technology
• Multimedia communication systems
• Digital doubles and free-viewpoint video
• Vision and audio for television, film, games, virtual and augmented reality.

CVSSP PhDs have received a number of prestigious awards for their research contributions including three British Machine Vision Association Sullivan Thesis Awards, European Biometrics Industry Achievement Awards, First prizes in Google audio and video recognition challenges, and best paper awards at numerous international conferences and journals.

You should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering), or a masters degree with distinction (or 70 per cent average), as well as a strong interest in pursuing research in this field.

Additional experience which is relevant to the area of research is also advantageous.

If English is not your first language you are required to have an IELTS score of 6.5 or above (or equivalent) with no sub-test score of less than 6.