University of Surrey
Research Fellow in Artificial Intelligence (AI) and Content Provenance
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Research Fellow in Artificial Intelligence (AI) and Content Provenance
We are recruiting for a Research Fellow in Artificial Intelligence (AI) and Content Provenance to develop new AI-based technologies for rights, attribution, and licensing in live music and digital media.
You will join the UKRI/AHRC-funded BRAID P3R project, working within the CoSTAR National Lab as part of a collaboration between the University of Surrey and Royal Holloway, University of London. The project will develop new technical approaches that enable performers, creators, and rights holders to express and protect rights over their work and likeness as live performances are captured, transformed, and distributed across digital platforms.
Key Responsibilities
- Develop new Computer Vision, AI, and multimedia technologies for identifying and representing rights associated with performers and creative works across images, video, and audio.
- Focus on the development of provenance-based licensing infrastructure that can associate rights and permissions with media and with the performers represented within it.
- Explore techniques for determining the presence and likeness of performers within visual media, using biometric and privacy-preserving representations.
- Connect these signals to provenance and licensing information using standards such as C2PA (Content Credentials).
- Explore audio watermarking for live performance, including robust watermarking of live audio streams and its integration with provenance and licensing frameworks.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Project Overview
The research will build on Surrey’s world-leading work in content authenticity and media provenance. The research will contribute towards a technical framework and APIs that external companies can integrate with to prototype new services for rights-aware capture, distribution, and reuse of live performance content.
Working Environment
You will join the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, a world-leading research centre in Computer Vision, AI, and multimedia. Our team has a strong international track record in content provenance and authenticity research spanning computer vision, watermarking, machine learning, privacy-preserving technologies, and open standards.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
The project is highly collaborative and interdisciplinary. You will work with researchers at Surrey and Royal Holloway, the wider CoSTAR National Lab community, and industry partners who will help integrate and evaluate technologies developed through the project. The role provides an opportunity both to publish fundamental research in leading international venues and to translate that research into demonstrators, APIs, and prototype systems with external partners.
Location and Duration
The position will be based at the University of Surrey in Guildford, UK. The post is available for an immediate start and is for a duration of 12 months. Remote working is available with the expectation of at least 50% time spent in the office.
Contact
For informal enquiries, please contact Professor John Collomosse at j.collomosse@surrey.ac.uk.
About CVSSP
CVSSP is one of the UK’s leading centres for research in Computer Vision, Machine Learning, AI, and multimedia technologies. The successful candidate will join an active research environment with strong links across academia, the creative industries, and technology companies.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills