PhD Vision, Speech and Signal Processing

At the Centre for Vision, Speech and Signal Processing (CVSSP), we’re developing exciting and ground-breaking technologies. These include facial recognition for security and medical imaging, and 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.

CVSSP 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 more than 170 researchers, and we’ve currently attracted more than £30 million in research grants.

Our research 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. We have expertise and activities in computer vision, digital signal processing, machine learning and artificial intelligence, computer graphics and human computer interaction, and data science for media, medical image analysis and multimedia communication.

Our PhD programme takes a maximum of four years of full-time study to complete. 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.

You’ll be allocated two Surrey-based academic supervisors, in addition to any external collaborative supervisors. Your principal supervisor will be an expert in your area of research and they will monitor your research progress on a regular basis. Your supervisors will help you define the initial objective and scope of your research, and to refine these as your project evolves. They’ll direct you to resources and they’ll be able to advise you on how to complete your PhD and your thesis. We often appoint external collaborative supervisors to contribute specific expertise or to allow access to external resources or organisations.

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