Media provenance and authenticity

​​​​We are looking to recruit an excellent PhD student in the field of Artificial Intelligence (AI) focused on the problem of ensuring media provenance and authenticity in the age of Generative AI.     

​​Join the UKRI funded DECaDE centre as we develop new Computer Vision and AI techniques to help shape the future of the decentralized creative economy.  You will join a group world-leading team of researchers spanning industry and academia with strong track record in publishing and shipping content provenance technologies to create real-world impact in fighting online harms and misinformation, and ensuring a fair and equitable decentralized markets for content re-use e.g. when training AI models.  Alongside our industry partners, we have impacted the development of international standards in provenance and impacted millions of users through commercial implementation of our research.    

​​As part of the multi-disciplinary DECaDE centre you will be a technologist working alongside experts in AI, cyber-security, business models and experts in design and creative IP law spanning Surrey, Edinburgh and the Digital Catapult.  Together we will develop user-centred technologies to help support creative practioners in the emerging gig/peer-to-peer economy in which everyone can become a content producer or consumer, and in which AI democratizes access to the re-use and creation of content in ways that offer opportunity but also demand new techniques to ensure fairness, inclusivity and safety of these tools.  

​​For informal enquiries contact John Collomosse (DECaDE Principal Investigator, j.collomosse@surrey.ac.uk) or Sarah Hall (sarah.hall@surrey.ac.uk).  

​​DECaDE is part of the Centre for Vision, Speech and Signal Processing (CVSSP), number one in the UK for computer vision research. For more details visit: https://decade.ac.uk/ and https://www.surrey.ac.uk/centre-vision-speech-signal-processing/postgraduate-research-study ​  

Open to both UK and international candidates.

Up to 30% of our UKRI-funded studentships can be awarded to candidates paying international rate fees. Find out more about eligibility.

You will need to meet the minimum entry requirements for our PhD programme.

Applicants should have or expect to obtain:  

• ​A first class (or equivalent overseas qualification) in an appropriate discipline (e.g., engineering, computer science, signal processing, and applied mathematics) or MSc with Distinction (or above 70% average)  
• ​You should be able to demonstrate excellent mathematical, analytic, programming skills.  
• ​Previous experience in computer vision, machine/deep learning, would be advantageous.