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UKRI's Enabling AI Adoption Across Science and Engineering opportunity invites ambitious and exploratory projects that bring AI expertise together with domain expertise to attack domain-specific research challenges.
EPSRC is the lead funder, the total fund is 5,000,000 pounds sterling, the maximum award is 250,000 pounds at full economic cost funded at 80 per cent, the call opened on 29 September 2026 and closes on 1 December 2026 at 4pm UK time, and funded projects start on a fixed date of 26 April 2027 with a maximum duration of twelve months.
Proposals must address a challenge within one of five named priority areas: engineering biology, advanced materials, quantum technologies, medical research, and fusion energy.
The defining structural requirement is that teams must include both AI specialists and non-AI domain experts, making this a brokered-collaboration instrument rather than a conventional AI methods call; the money is intended to move AI capability into domains that have not yet absorbed it rather than to advance AI as a field. A webinar for potential applicants was held on 14 October 2026.
Assessment uses UKRI's distributed peer review model, under which at least two members of each applicant team must review proposals from other applicants, and applications are submitted through the UKRI Funding Service with a Vision and Approach document of up to four pages plus capability, ethics, resources and risk sections.
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Or search similar grants →According to the current listing, eligibility includes: Applicants must be based at UK research organisations eligible for UKRI funding and satisfy UKRI individual eligibility rules, which covers UK universities, approved research institutes and recognised independent research organisations. International researchers may be included only as project co-leads and only via specific cooperation agreements, the UKRI-RCN or UKRI-IIASA routes, so non-UK organisations cannot be funded partners in the ordinary way and cannot lead. Beyond institutional eligibility there are two binding programmatic constraints. First, the proposed work must sit inside one of five priority areas, namely engineering biology, advanced materials, quantum technologies, medical research or fusion energy; a strong AI project aimed at any other domain, including the climate, transport, education and public-sector applications that dominate AI adoption funding elsewhere, is non-responsive. Second, the team must combine AI and non-AI domain expertise, so a proposal from a machine learning group without a substantively engaged domain partner, or from a domain group without genuine AI capability, does not meet the call's structure. Projects are capped at twelve months with a non-negotiable start date of 26 April 2027, which effectively requires that data, facilities and staff be available at the outset. At least two members of each team must take part in distributed peer review of other applications in the cohort, an obligation applicants accept by submitting. Applications must be made through the new UKRI Funding Service rather than the legacy system, and the closing date is 1 December 2026 at 4pm UK time. Confirm the full requirements in the official notice before applying.
The current listing shows the total fund is 5,000,000 pounds sterling with a maximum award of 250,000 pounds sterling, approximately 332,000 US dollars, and amount_min and amount_max are both recorded as 332,000 since the call publishes a ceiling and no floor. UKRI funds 80 per cent of full economic cost, so a project at the ceiling yields roughly 200,000 pounds, about 266,000 US dollars, of UKRI cash. The pot and the ceiling together imply around twenty awards, and the project duration is capped at twelve months with a fixed start of 26 April 2027, which makes this the smallest and shortest of the current UKRI AI instruments and changes what a credible budget looks like. A twelve-month 250,000 pound FEC envelope will not support a new experimental programme; it supports a postdoctoral researcher or research software engineer plus compute, applied to data and facilities that already exist in the host domain group. The call's requirement that teams contain both AI and non-AI domain experts means the budget must visibly fund both sides, and a proposal that allocates everything to machine learning staff while listing domain collaborators as unfunded advisers will not match the stated intent. Applicants should also price in the distributed peer review obligation, since at least two team members must participate in reviewing other applications, which is unfunded effort inside a one-year project. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for UKRI Enabling AI Adoption Across Science and Engineering for Domain Challenges in Engineering Biology, Advanced Materials, Quantum, Medical Research and Fusion are due December 1, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
UKRI Enabling AI Adoption Across Science and Engineering for Domain Challenges in Engineering Biology, Advanced Materials, Quantum, Medical Research and Fusion is funded by UK Research and Innovation (UKRI), with the Engineering and Physical Sciences Research Council (EPSRC) as lead council. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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