With the Centre for Vision Speech and Signal Processing (Surrey, UK)
3x Funded studentships available (UK/EU fees and stipend)
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.
CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 2nd in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 140 researchers and a grant portfolio in excess of £23million, bringing together a unique combination of cutting-edge sound and vision expertise. 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 has a robust track-record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, VR), mobile communication, healthcare, robotics and consumer electronics.
CVSSP is part of the Department of Electrical and Electronic Engineering and has -been ranked third in the UK in the Guardian newspaper league table 2017. The Department of Electrical and Electronic Engineering achieved a 92.9% overall satisfaction for NSS 2017 and is rated seventh in the UK for Electronic Engineering in the The Complete University Guide 2018
Funding will provide an annual tax-free stipend of approximately £15,000 and coverage of the home/EU tuition fees for 3.5 years.
Applicants should have:
- A first class or 2:1 honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g. engineering, computer science, signal processing, applied mathematics, and physics)
- You should be able to demonstrate excellent mathematical, analytic, programming skills
- Previous experience in computer vision, machine/deep learning, would be advantageous. Alternatively or in addition, experience in distributed ledger technologies (DLT) such as Blockchain particularly in use cases where it has been combined with AI or signal processing,
How to Apply
For enquiries contact Prof. John Collomosse (J.Collomosse@surrey.ac.uk) indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates). Non-native speakers of English will normally be required to have IELTS 6.5 or above (or equivalent) with no sub-test of less than 6. Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. For further information about our research portfolio and how to apply visit: CVSSP Apply online
This is rolling application, we will fund up to 3 excellent candidates over an 18 month period with earliest start date April 2021
We acknowledge, understand and embrace diversity.