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.
PHD at CVSSP
The Centre for Vision, Speech, and Signal Processing (CVSSP) is ranked 1st in Computer Vision in the UK, 3rd in Europe, and 11th in the world. The University of Surrey is also ranked 1st in the 2020 AdvanceHE Postgraduate Research Experience Survey (PRES), for Postgraduate Research Culture.
— 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.
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.
Current PhD Studentships at CVSSP
We have six fully-funded PhD studentships in collaboration with industry partners including fees and stipend available for outstanding candidates.
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.
Application deadline
Ongoing.
Project PhD Studentships at CVSSP
The Centre for Vision Speech and Signal Processing (CVSSP) seeks applications from high quality students for up to two funded studentships co-supervised with Adobe Research, California, on the topic of AI and Computer Vision exploring topics in content authenticity such as deepfake detection and content provenance using deep neural networks. The student will be based at CVSSP in the UK with opportunity for internship and travel to Adobe in the Bay Area during the project.
This is a 3.5 year project, commencing in October 2020. For enquiries contact Professor John Collomosse indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates).
Application deadline
Apply by Friday 14 August 2020.
This studentship will work alongside the BBC to bring AI technologies into the production process for broadcast content. The student will be integral to creating an “AI editor” who can automatically enforce directorial/editorial rules in the cutting room, including mixing in virtual camera viewpoints which were not actually recorded.
This is a 3.5 year project. For informal enquiries contact Dr Simon Hadfield.
Application deadline
Ongoing.
This studentship will work alongside the BBC to bring artificial intelligence (AI) technologies into the production process for broadcast content. The student will be integral to creating an “AI editor” who can automatically enforce directorial/editorial rules in the cutting room, including postprocessing data to improve perceived visual quality.
This is a 4 year project. For informal enquiries contact Dr Simon Hadfield.
Application deadline
Ongoing.
The project will be looking at spatiotemporal sematic segmentation and prediction of actions of other road users in the context of SAE level 4-5 autonomous vehicles. Specifically, it will focus on inner city and urban driving. It will focus on the computer vision tools for segmentation and reasoning about scene content and motion with integration into ROS and testing on our autonomous testbed.
This is a 4 year project. For informal enquiries contact Professor Richard Bowden.
Application deadline
Ongoing.
Applications are invited for a fully funded PhD studentship within the Centre for Vision Speech and Signal Processing at the University of Surrey. This project will investigate AI and computer vision approaches to perception and its use for long term path planning and navigation. The work will focus on deep learning applied to local perception and will investigate semantic segmentation in the image plane integrated into a ROS control and path planning system vs Birds Eye View (BEV) estimation direct from images using deep learning. Local perception will be fused with live information from multiple sources, each of which has unique error characteristics, and the fused data will be used for guidance through the application of collision avoidance rules.
This is a 4 year project. For informal enquiries contact Professor Richard Bowden.
Application deadline
Ongoing.
Applications are invited for a fully funded PhD studentship within the Centre for Vision Speech and Signal Processing at the University of Surrey. This project will develop approaches to recognising and translating sign language into spoken language using Ai and deep learning, specifically sequence to sequence models.
This is a 4 year project. For informal enquiries contact Professor Richard Bowden.
Application deadline
Ongoing.
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.
