AI and computer vision for content authenticity

The Centre for Vision Speech and Signal Processing (CVSSP) seeks applications from high quality students for a funded studentship co-supervised with Adobe Research, California, on the topic of AI and computer vision, exploring topics in content authenticity such as deepfake detection and content provenance using deep neural networks.

Start date
1 October 2020
Duration
3.5 years
Application deadline
Funding information

Funding for this project is available to citizens of the UK/EU. Funding will provide an annual tax-free stipend of approximately £20,000 and coverage of the home/EU tuition fees for 3.5 years.

About

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) where the student will be based 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.

Centre for Doctoral Training in Audio-Visual Machine Perception

By joining CVSSP you will be accessing the newly formed Centre for Doctoral Training in Audio-Visual Machine Perception (CDT-AVMP) at the University of Surrey, aligned with the recently funded £10M EPSRC DECADE centre.

You will have opportunities to work with several major creative sector partners including the BBC, and institutions such as National Archives as well as Adobe.

The CDT-AVMP offers an enhanced 3.5 year doctoral training programme to address industry demand for individuals with cross-disciplinary scientific expertise in artificial intelligence (AI) and machine perception, working in teams with integrated professional skills in software, project management, innovation and understanding of ethics and regulation of AI and data science research.

Related links
Centre for Vision, Speech and Signal Processing PhD study at the Centre for Vision, Speech and Signal Processing

Eligibility criteria

The studentship is available to UK or EU candidates.

If English is not your first language, you will be required to have an IELTS Academic of 6.5 or above (or equivalent), with no sub-test of less than 6.

You 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, or augmented reality would be advantageous.

How to apply

Applications should be sent through the CVSSP PhD course page.

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


Application deadline

Contact details

John Collomosse
23 BA 00
Telephone: +44 (0)1483 686035
E-mail: J.Collomosse@surrey.ac.uk

Centre for Vision, Speech and Signal Processing

CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 1st in the UK and 3rd  in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 170 researchers and a grant portfolio in excess of £24 million, 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), communication, healthcare, robotics and consumer electronics.

CVSSP is a destination of choice for postgraduate talent and it is part of the Department of Electrical and Electronic Engineering which is ranked second in the Guardian University Guide 2020.  The University of Surrey has recently been ranked 7th in the UK in the 2020 AdvanceHE Postgraduate Research Experience Survey (PRES).

 

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