Postgraduate research study
The Centre for Vision, Speech, and Signal Processing (CVSSP) at the University of Surrey offers an enhanced PhD training programme to address the world’s demand for individuals with scientific expertise in AI and Machine Perception, as well as professional and cross-disciplinary skills required to develop and deploy future AI intelligent sensing technologies for modern life. We acknowledge, understand and embrace diversity.
PhD at CVSSP
Our Centre is ranked 1st in the UK, 5th in Europe and 21th in the world for computer vision in the Computer Science Rankings 2020.
The University of Surrey is also ranked 1st for postgraduate research culture in the Advance HE Postgraduate Research Experience Survey 2020.
— There is no better time to join us!
Our vision is to engage PhD, post-doctoral and industry researchers in AI & machine perception across the UK in high-quality training and networking with industry to ensure that the UK leads the future development of this field.
Our training programme enables PhD students to gain the research skills needed to obtain an internationally-recognised PhD; multi-disciplinary knowledge of the fundamental science and practical application of multi-sensory machine perception; experience of applying their research in industry and the public sector to real-world challenges and data; understanding of responsible research and innovation; transferable skills such as entrepreneurship and communication, including engineering competence skills suitable for professional registration (EurIng, CEng); an open science approach to research, through open publication of research papers, data and software; and an entrepreneurial and innovation-oriented attitude through exposure to SME and spin-off companies in our network.
CVSSP is a destination of choice for postgraduate talent and it is part of the Department of Electrical and Electronic Engineering which is ranked second in the Guardian newspaper league table 2020.
Our programme offers;
- Cohort-based research training with training weeks on transferrable skills, science schools on research topics and facilitated sandpits for agile cross-disciplinary team solution to industry challenges.
- Individual research training to develop in- depth research experience and specific skills tailored for the individual and their personal career development plan
- Opportunities for engagement with non-academic industry and user partners throughout the research programme incl. project design, training in industrial practice and industrial secondments. The learning objective is to ensure that all PhD researchers gain a cross-disciplinary understanding of both the fundamental science and real-world application of multi-sensory machine perception.
CVSSP has a thriving community of over 90 postgraduate research students conducting research across a broad range of areas. Our research cohorts are internationally diverse with students from all over the world, studying on a full or part-time basis. You can view our research or contact the relevant academic with an informal enquiry.
Postgraduate research courses start in October, January, April and July and run for 48 months full time. Offers may be conditional of applicants achieving the minimum requirements for IELTS and having satisfactory academic qualifications. Contact CVSSP Admin if you have a general enquiry.
"The Centre for Vision Speech and Signal Processing (CVSSP) specifically, is a great place to undertake a PhD in machine learning or machine perception, as it has a very diverse range of research groups all with their own area of expertise. And we also have great Christmas parties."Lewis Bridgeman. Deep Learning for Free-viewpoint Video in Sports and Immersive VR Experiences
PhD studentship opportunities at CVSSP
Centre for Doctoral Training in Audio-Visual Machine Perception (CDT-AVMP)
CVSSP’s CDT offers an enhanced doctoral training programme to address industry demand for individuals with cross-disciplinary scientific expertise in AI and Machine Perception, working in teams with integrated professional skills in software, project management, innovation and understanding of ethics and regulation of AI and data science research.
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.
Funding is available for up to six PhD studentship opportunities in the following research areas:
- 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 TV, film, games, virtual and augmented reality.
For further information please contact Nan Bennett.
We seek applications from enthusiastic, self-motivated students for up to three funded PhD studentships within the newly awarded DECaDE: Centre for the Decentralized Digital Economy, led by the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey and in partnership with the University of Edinburgh, the Digital Catapult, and over 30 industry and public sector partners.
The student will be based at CVSSP in the UK with opportunity for internship and travel to DECaDE centre partners during the course of the PhD. Funded doctoral research projects will investigate the potential for decentralized platforms to transform the Digital Economy, particularly looking at Artificial Intelligence (AI) technologies application in distributed systems and data. Research topics include federated machine learning (FML), computer vision and visual analytics, machine learning over distributed sensor networks, AI for distributed media, and the intersection AI and cyber security. We acknowledge, understand and embrace diversity.
The Centre for Vision Speech and Signal Processing (CVSSP) at The University of Surrey and the metrology for Medical Physics Group (MEMPHYS) at The National Physical Laboratory are pleased to offer a PhD opportunity in the field of medical imaging. The studentship is part of a unique partnership with Alliance Medical Limited – Europe’s largest independent provider of medical imaging.
The project will support standardisation for imaging in large scale studies using a combination of artificial intelligence (AI), big data, biomarker and measurement science approaches. The purpose of the studentship is to bring new AI methods to bear on understanding medical images for cancer treatment with the potential to predict treatment outcomes using these new methods. The studentship is anticipated to work on methods and applications for CT (computed tomography) scanning and/or PET (positron emission tomography). We acknowledge, understand and embrace diversity.
28th February 2021.
Research at CVSSP
Our research has pioneered new technologies for the benefit of society and the economy, with applications spanning healthcare, security, entertainment, robotics, autonomous vehicles, communication and audio-visual data analysis.
CVSSP Research Facilities
CVSSP has unique facilities to support audio-visual machine perception research, including: a multiple camera audio-visual recording studio with 16 Ultra HD cameras, video rate capture and processing, a 64 channel sound sphere, and robot vision platforms including a new autonomous car testbed.
PhD Studies at University of Surrey
Find out more about PhD study at the University of Surrey from the people at the heart of our doctoral research community – our incredible students and academics.
PhD programme details
If you wish to apply for a PhD with us then please follow this link below.
Please contact Nan Bennett once you have applied for a PhD position or successfully submitted a PhD online application form.