AI and computer vision for content authenticity
The Centre for Vision Speech and Signal Processing (CVSSP) seeks applications from high quality students for up to two funded studentships 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 date1 October 2020
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.
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 linksCentre for Vision, Speech and Signal Processing PhD study at the Centre for Vision, Speech and Signal Processing
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.
Our Centre is ranked number one for Computer Vision in the UK and it is one of the largest in Europe with over 150 researchers and a grant portfolio in excess of £23million. CVSSP brings together a unique combination of cutting-edge sound and vision expertise, with an outstanding track-record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, VR, AR), mobile communication, healthcare, robotics, autonomous vehicles and consumer electronics.
Postgraduate research with CVSSP
CVSSP promotes an exciting, supportive and inclusive research environment. Secondments with industry and international groups are encouraged during the PhD to broaden experience and to ensure research is kept relevant to real-world problems. Our PhD researchers contribute to advancing the state-of-the art through publication and by participating in leading international forums.
The Postgraduate Research Experience Survey (PRES) 2018 ranked the University of Surrey 7th in the UK out of 63 and 4th for retention and completion.