PhD studentship within DECaDE: Centre for the Decentralized Digital Economy. AI/Computer Vision/Blockchain.

The PhD will build upon the activities of prior EPSRC funded projects within CVSSP that combine AI and distributed ledger technology such as ARCHANGEL, COMEHERE, TAPESTRY and integrates with the recently funded £10M EPSRC DECADE centre with opportunities to work with several industry partners. The PhD topic may explore federated machine learning, computer vision and visual analytics, multi-modal signal processing, and distributed ledger technologies such as Blockchain.

The student will be based at CVSSP in the UK with opportunity for internship and travel to DECaDE centre partners during the course of the PhD.  Funded doctoral research projects will investigate the potential for decentralized platforms to transform the Digital Economy, particularly looking at Artificial Intelligence (AI) technologies application in distributed systems and data.  Research topics include federated machine learning (FML), computer vision and visual analytics, machine learning over distributed sensor networks, AI for distributed media, and the intersection AI and cyber security.

CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 2nd in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 140 researchers and a grant portfolio in excess of £18.5million, bringing together a unique combination of cutting-edge sound and vision expertise.   DECaDE offers an enhanced 3.5 year doctoral training programme to address industry demand for individuals with cross-disciplinary scientific expertise in AI and Distributed Systems,  working in teams with integrated professional skills in software, project management, innovation and understanding of ethics and regulation of AI and data science research.

Candidates must hold 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. Alternatively or in addition, experience in distributed ledger technologies (DLT) such as Blockchain particularly in use cases where it has been combined with AI or signal processing,

Available for UK/EU students only.

IELTS requirements:  6.5 or above (or equivalent) with no sub-test of less than 6.

Centre for Vision, Speech and Signal Processing (CVSSP)