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PhD Studentship Opportunity with Adobe Research: AI/Computer Vision for Content Authenticity


Faculty of Engineering and Physical Sciences

This project is no longer listed on FindAPhD.com and may not be available.

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Prof J Collomosse No more applications being accepted Funded PhD Project (European/UK Students Only)

About the Project

The project will investigate new deep learning techniques to detect synthetic / GAN created image and video content and to learn computational models of content similarity using which large volumes of digital creative work may be attributed to their origins. The PhD will build upon the activities of prior EPSRC funded projects within CVSSP such as ARCHANGEL, and integrates with the recently funded £10M EPSRC DECADE centre with opportunities to work with several major creative sector partners including the BBC, and institutions such as National Archives as well as Adobe and its recently announced Content Authenticity Initiative. The PhD is co-supervised between the Centre for Vision Speech and Signal Processing (CVSSP) and Adobe Research’s Creative Intelligence Lab (CIL) based in San Jose, California. Adobe will be closely involved in the supervision of this project and opportunities exist for internship and travel to Adobe HQ in Silicon Valley during the project.

This is a 3.5 year project, commencing in October 2020.

Entry requirements:
• 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, or augmented reality would be advantageous.
• IELTS 6.5 or above (or equivalent) with no sub-test of less than 6.

How to apply:
Applications should be made through the CVSSP course page: https://www.surrey.ac.uk/postgraduate/vision-speech-and-signal-processing-phd

For enquiries contact Dr John Collomosse ([Email Address Removed]) indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates).

Funding Notes

Studentship under University of Surrey CDT for Audio-Visual Machine Perception (AVMP) co-funded by Adobe Research. Funding will provide an annual tax-free stipend of approximately £20,000 and coverage of the home/EU tuition fees for 3.5 years. Based at Surrey. Opportunity for internship and travel to Adobe in the Bay Area.
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