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No active application cycle on this page; prospective students must contact individual CDTs directly.
UKRI Artificial Intelligence Centres for Doctoral Training (CDTs) is sponsored by UK Research and Innovation (UKRI). The UKRI AI Centres for Doctoral Training (CDTs) train a new generation of PhD students to develop and use AI technology in areas such as improving healthcare, tackling climate change, and creating new commercial opportunities.
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UKRI artificial intelligence Centres for Doctoral Training – UKRI How we work in artificial intelligence UKRI artificial intelligence Centres for Doctoral Training 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: 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 We aim to respond in two working days.
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 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 Last updated: 30 March 2026 This is the website for UKRI: our seven research councils, Research England and Innovate UK.
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Based on current listing details, eligibility includes: PhD students interested in AI research; applicants should contact individual CDTs for specific entry requirements. UK research organisations can host a CDT. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates £117 million total for 2023 cohort; individual studentships fully funded Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Frontier AI Benchmarking Datasets Grant Programme is a grant from UK Research and Innovation (UKRI) / Innovate UK that funds the creation, curation, annotation, and exploitation of FAIR-compliant datasets and benchmarks to support AI industry growth. A total of up to £4.5 million is available. The competition is open to collaborations only; the lead applicant must be a UK-registered business or research and technology organization (RTO), and each consortium must include at least one UK-registered SME claiming grant funding. Eligible sectors include public sector, nonprofit, and private sector organizations. The application deadline is May 27, 2026.
CfI: Advanced Connectivity Technologies (ACT): Call 1 is a grant from UK Research and Innovation (UKRI) and Innovate UK that funds the development of near-term, testable connectivity solutions advancing the UK's Secure and Resilient and Sustainable Network Grand Challenges. A share of £15 million (including VAT) is available for projects producing deployable prototypes on UK testbeds. UK-registered organizations from the public sector, nonprofit, and private sector may apply and can lead projects alone or with subcontractors. Contracts are awarded to a single legal entity. The application deadline is June 3, 2026.
Note: Each funding opportunity description is a synopsis of information in the Federal Register application notice. For specific information about eligibility, please see the official application notice. The official version of this document is the document published in the Federal Register. Free Internet access to the official edition of the Federal Register and the Code of Federal Regulations is available on GPO Access at: http://www.access.gpo.gov/nara/index.html. Please review the official application notice for pre-application and application requirements, application submission information, performance measures, priorities and program contact information. Purpose of Program: The purpose of this program is to stimulate technological innovation in the private sector, strengthen the role of small business in meeting Federal research or research and development (R/R&D) needs, increase the commercial application of the U.S. Department of Education (Department) supported research results, and improve the return on investment from federally funded research for economic and social benefits to the Nation. Catalog of Federal Domestic Assistance (CFDA) Number: 84.133S-1. If you choose to submit your application electronically, you must use the Governmentwide Grants.gov Apply site at http://www.Grants.gov. Through this site, you will be able to download a copy of the application package, complete it offline, and then upload and submit your application. You may not e-mail an electronic copy of a grant application to us. You may access the electronic grant application for the SBIR Program at: http://www.Grants.gov. You must search for the downloadable application package for this competition by the CFDA number. Do not include the CFDA number's alpha suffix in your search (e.g. , search for 84.133, not 84.133S). The telephone number for the Grants.gov Helpdesk is 1-800-518-4726 or e-mail: support@grants.gov. Funding Opportunity Number: ED-GRANTS-090908-001. Assistance Listing: 84.133. Funding Instrument: G. Category: ED. Award Amount: Up to $75K per award.
The National Leadership Grants for Libraries Program (NLG-L) supports projects that address critical needs of the library and archives fields and have the potential to advance practice and strengthen library and archival services for the American public. Successful proposals will generate results such as new models, tools, research findings, services, practices, and/or alliances that can be widely used, adapted, scaled, or replicated to extend and leverage the benefits of federal investment. Applications to IMLS should both advance knowledge and understanding and ensure that the federal investment made generates benefits to society. Specifically, the goals for this program are to generate projects of far-reaching impact that: • Build the workforce and institutional capacity for managing the national information infrastructure and serving the information and education needs of the public. • Build the capacity of libraries and archives to lead and contribute to efforts that improve community well-being and strengthen civic engagement. • Improve the ability of libraries and archives to provide broad access to and use of information and collections with emphasis on collaboration to avoid duplication and maximize reach. • Strengthen the ability of libraries to provide services to affected communities in the event of an emergency or disaster. • Strengthen the ability of libraries, archives, and museums to work collaboratively for the benefit of the communities they serve. Throughout its work, IMLS places importance on diversity, equity, and inclusion. This may be reflected in an IMLS-funded project in a wide range of ways, including efforts to serve individuals of diverse geographic, cultural, and socioeconomic backgrounds; individuals with disabilities; individuals with limited functional literacy or information skills; individuals having difficulty using a library or museum; and underserved urban and rural communities, including children from families with incomes below the poverty line. Application Process: The application process for the NLG-L program has two phases; applicants must begin by applying for Phase I. For Phase I, all applicants must submit Preliminary Proposals by the September 20th deadline listed for this Notice of Funding Opportunity. For Phase II, only selected applicants will be invited to submit Full Proposals, and only those Invited Full Proposals will be considered for funding. Invited Full Proposals will be due March 20, 2024. Funding Opportunity Number: NLG-LIBRARIES-FY24. Assistance Listing: 45.312. Funding Instrument: G. Category: AR,HU. Award Amount: $50K – $1M per award.
The California Department of Education (CDE) Early Education Division is making approximately .7 million available to expand California State Preschool Program (CSPP) services statewide, appropriated under the 2021 Budget Act. Eligible applicants are local educational agencies (LEAs), including school districts, county offices of education, community college districts, and direct-funded charter schools—both current CSPP contractors and new applicants. Funding supports full-day/full-year or part-day/part-year preschool services for income-eligible children beginning in FY 2024–25. Awards are allocated by county based on Local Planning Council priority areas and application scores, with redistribution provisions if county allocations are underutilized.