The UK Research and Innovation (UKRI) artificial intelligence (AI) Centres for Doctoral Training (CDTs) are training a new generation of PhD students. They will develop novel AI methodology and use AI technology in areas such as:
- improving healthcare
- tackling climate change
- creating new commercial opportunities
Following the £100 million investment in 2018 in 16 UKRI AI CDTs, in 2023 UKRI invested a further £117 million in 12 new centres to continue training doctoral researchers in AI across the remit of UKRI. These new centres will train around 900 students over eight years. The first cohort will start in the 2024 to 2025 academic year.
The 2023 investment supported CDTs based at 16 universities and included partnerships with 370 different organisations from the private, public and third sector. These partnerships leveraged an additional £71 million from project partners and £40 million from the universities. EPSRC has also funded CDTs relevant to AI.
If you are interested in studying at one of the CDTs or partnering with them, contact the centre directly.
Ask a question about AI CDTs
Email: ai.cdts@ukri.org
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2023 centres
The centres are:
UKRI AI Centre for Doctoral Training in Lifelong Safety Assurance of AI-enabled Autonomous Systems (SAINTS)
Led by Professor Ibrahim Habli, University of York
UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial INtelligence (SUSTAIN)
Led by Professor Simon Parsons, University of Lincoln, with universities of Aberdeen, Strathclyde and Queen’s University Belfast
UKRI AI Centre for Doctoral Training in Responsible and Trustworthy in-the-world Natural Language Processing
Led by Professor John Vines, The University of Edinburgh
UKRI AI Centre for Doctoral Training in AI for Sustainability
Led by Professor Enrico Gerding, University of Southampton
UKRI AI Centre for Doctoral Training in Citizen-Centred Artificial Intelligence
Led by Professor Shaun Lawson, Northumbria University
UKRI AI Centre for Doctoral Training in Practice-Oriented Artificial Intelligence (PrO-AI)
Led by Professor Peter Flach, University of Bristol
UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems
Led by Dr Mauricio Alvarez Lopez, The University of Manchester with University of Cambridge
UKRI AI Centre for Doctoral Training in Dependable and Deployable Artificial Intelligence for Robotics (D2AIR)
Led by Professor Ronald Petrick, Heriot-Watt University with The University of Edinburgh
UKRI AI Centre for Doctoral Training in Biomedical Innovation
Led by Professor Ian Simpson, The University of Edinburgh
UKRI AI Centre for Doctoral Training in AI for the Environment (Intelligent Earth)
Led by Professor Philip Stier, University of Oxford
UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion
Led by Professor Adrian Hilton, University of Surrey with Royal Holloway, University of London
UKRI AI Centre for Doctoral Training in Digital Healthcare
Led by Professor Aldo Faisal, Imperial College London
2018 centres
The centres are:
UKRI AI Centre for Doctoral Training in Foundational Artificial Intelligence
Led by Professor David Barber, University College London
UKRI AI Centre for Doctoral Training in AI Enabled Healthcare Systems
Led by Professor Paul Taylor, University College London
UKRI AI Centre for Doctoral Training in Environmental Intelligence: Data Science and AI for Sustainable Futures
Led by Professor Gavin Shaddick, University of Exeter
UKRI AI Centre for Doctoral Training in Natural Language Processing
Led by Professor Mirella Lapata, The University of Edinburgh
UKRI AI Centre for Doctoral Training in Artificial Intelligence and Music
Led by Professor Simon Dixon, Queen Mary University of London
UKRI AI Centre for Doctoral Training in Speech and Language Technologies and their Applications
Led by Professor Thomas Hain, The University of Sheffield
UKRI AI Centre for Doctoral Training in AI for Healthcare
Led by Professor Aldo Faisal, Imperial College London
UKRI AI Centre for Doctoral Training in Accountable, Responsible and Transparent AI
Led by Professor Eamonn O’Neill, University of Bath
UKRI AI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing
Led by Professor Gert Aarts, Swansea University with universities of Bangor, Cardiff, Aberystwyth and Bristol
UKRI AI Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems
Led by Professor Tim Norman, University of Southampton
UKRI AI Centre for Doctoral Training in Socially Intelligent Artificial Agents
Led by Professor Alessandro Vinciarelli, University of Glasgow
UKRI AI Centre for Doctoral Training in Biomedical Artificial Intelligence
Led by Professor Ian Simpson, The University of Edinburgh
UKRI AI Centre for Doctoral Training in Interactive Artificial Intelligence
Led by Professor Peter Flach, University of Bristol
UKRI AI Centre for Doctoral Training in AI for the Study of Environmental Risks
Led by Dr Emily Shuckburgh, University of Cambridge
UKRI AI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence
Led by Dr Elizabeth Black, King’s College London with Imperial College London
UKRI AI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care
Led by Professor David Hogg, University of Leeds