PhD Studentship within DECaDE: Centre for the Decentralized Digital Economy - AI/Computer Vision/Blockchain
We seek applications from an enthusiastic, self-motivated student for a funded PhD studentship within the DECaDE: Centre for the Decentralized Digital Economy, led by the Centre for Vision, Speech and Signal Processing (CVSSP) with over 30 industry partners.
Start date1 January 2024
Funding sourceCVSSP Internal match funded studentship associated with the recently granted EPSRC DECaDE Centre.
Funding will provide an annual tax-free stipend at the current EPSRC funding rate of £18,622 (for 2023-24) and coverage of the tuition fees for 3.5 years.
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, including international partners in the technology sector. See www.decade.ac.uk for more information on DECaDE.
Research topics in scope include content authenticity and novel AI to fight fake news and misinformation, new ways to discover and make sense of content to create future decentralized markets for creative media, synthetic media provenance and training data attribution and traceability for Generative AI, etc.
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 School of Computer Science and Electronic Engineering at Surrey.
Related linksUKRI Centre for Decentralized Digital Economy
Open to any UK or international candidates who:
- Hold 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)
- Are 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
Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page. In place of a research proposal you should upload a document stating the title of the project that you wish to apply for and the name of the supervisor.
Read our studentship FAQs to find out more about applying and funding.