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
2023 UKRI AI CDT funding opportunity
UKRI is investing a further £117 million to continue training doctoral researchers in AI across the remit of UKRI. The first cohort will start in the 2024 to 2025 academic year.
The outline proposal stage has now concluded. Successful outline proposals have been invited to submit full proposals by 13 July 2023. Find out about the UKRI AI CDT 2023 successful outline proposals.
Full details of the funding opportunity are available on the UKRI funding finder: UKRI Centres for Doctoral Training in artificial intelligence.
2018 UKRI AI Current UKRI AI CDTs
The £100 million investment in 2018 supported CDTs based at 14 universities and include partnerships with over 300 organisations including:
- the NHS
- AstraZeneca
- Rolls-Royce
This investment leveraged an additional £78 million from project partners and £23 million from the universities. Around 1000 students will be trained over 8 years.
Contact details
Email: ai.cdts@ukri.org
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 Geraint Rees, 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 Dr 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
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
UKRI AI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care
Led by Professor David Hogg, University of Leeds