Funding opportunity

Funding opportunity: Fundamental AI Research Lab

Start application

Apply to lead a strategic research lab dedicated to advancing the UK’s position in fundamental artificial intelligence (AI) development. This funding opportunity is open to consortia that can demonstrate a track record of world leading fundamental AI research.

The full economic cost (FEC) of the initial 18 month research grant can be up to £7.5 million (we will fund up to 80% of FEC). A six year training grant will also be awarded. The FEC of the training grant will be up to £1.9 million ( EPSRC will fund up to 100% of FEC). Grants will start 1 May 2026.

Subject to a stage gate review the successful awardee will receive up to £32 million extending the investment to a six year programme.

If you intend to apply to this funding opportunity, your research organisation must complete this survey by 16 March 2026. Fundamental AI Research Lab Intent to Apply

Who can apply

If you intend to apply as a lead applicant , your research organisation must complete the intent to submit survey by 4pm 16 March 2026. You will not be permitted to apply to the funding opportunity if your research organisation has not completed the survey. Fundamental AI Research Lab Intent to Apply

This funding opportunity is open to organisations with standard eligibility, check whether your organisation is eligible.

Who is eligible to apply

To apply you must:

  • meet EPSRC standard eligibility rules that apply for this funding opportunity. Applicants in the UK must meet the EPSRC eligibility requirements. For full details, visit EPSRC’s eligibility page
  • be at a university which has completed an intent to submit survey by 4pm on 16 March 2026
  • ensure the application includes an organisation with degree awarding powers within the consortium

Researchers may only be named on a single bid.

Lead organisations must be able to demonstrate:

  • a considerable track record of world-leading expertise in advancing fundamental AI research as evidenced by a clear track record of outputs and outcomes
  • an established research environment and capability to set up at pace and lead a strategic lab of this scale
  • a defined AI strategy
  • an existing supportive training environment
  • evidence of ability to secure partnership or leverage from industrial partners

Lead organisations are only permitted to submit a single bid as lead institution.

This is expected to be a highly competitive process which will make a single award. Organisations are encouraged to consider the funding opportunity guidance carefully and only apply if they feel they fully meet the criteria.

Who is not eligible to apply

You cannot apply if you:

  • are not hosted by an eligible research organisation
  • are solely based in an industrial establishment
  • are at a research organisation who has not completed the intent to submit survey by 4pm on 16 March 2026
  • we will not accept uninvited resubmissions of projects that have been submitted to UK Research and Innovation (UKRI) or any other funder. Find out more about EPSRC’s resubmissions policy
  • are a consortium who does not include an organisation with degree awarding powers

International researchers

As EPSRC is a lead funder for this funding opportunity, international researchers can only apply as ‘project co-lead (international)as part of an application making use of the UKRI-RCN Money Follows Cooperation agreement or the UKRI-IIASA agreement.
You should include all other international collaborators (or UK partners not based at approved organisations) as project partners.

Resubmissions

We will not accept uninvited resubmissions of projects that have been submitted to UKRI or any other funder.

Find out more about EPSRC’s resubmissions policy

Equality, diversity and inclusion

We are committed to achieving equality of opportunity for all funding applicants. We encourage applications from a diverse range of researchers.

We support people to work in a way that suits their personal circumstances. This includes:

  • career breaks
  • support for people with caring responsibilities
  • flexible working
  • alternative working patterns

UKRI can offer disability and accessibility support for UKRI applicants and grant holders during the application and assessment process.

What we're looking for

Aim

Through this strategic investment, EPSRC aims to support the formation of a strategic research lab dedicated to truly novel AI research which advances the UK’s position in fundamental AI development.

The investment will directly address key outcomes in the UKRI Research and Innovation AI Strategic Framework. It will support research with the potential to shape the trajectory of AI model development targeting areas not currently pursued by commercial AI labs due to its early stage or high-risk nature.

This funding aims to:

  • secure the UK’s stake in the next generation of AI systems
  • strengthen the UK’s talent pipeline, including attracting leading researchers internationally
  • build a critical mass of world leading activity, bolstering collaborative networks across the UK’s academic institutions to enable this
  • grow UK research capacity cementing the UK as a global leader in AI
  • attract inward investment from frontier labs, multinational investment, and private capital

Scope

To ensure the next generation of AI technologies can meet the demands of real-world applications, it is increasingly clear advancements are needed to overcome the structural limitations of current systems.

These advancements will not simply emerge from scaling models, but from innovative research regarding their design. In that context, there is an enormous opportunity for the UK to establish leadership within the field by developing the theoretical foundations of AI and overcoming methodological barriers.

We are not specifying research priorities for the lab beyond the need to focus on novel fundamental AI development. This is due to the breadth of potential research, and the importance of investing in approaches that can address both current and future needs of AI technologies.

The lab must build on UK strengths, focusing on areas of UK opportunity, which do not duplicate areas of emphasis in industrial frontier AI labs.

In total, the successful applicant will, subject to stage gating, receive up to £40 million of funding. This sits alongside a guarantee of 2 million Graphics Processing Unit (GPU) hours of compute per year through the AI Research Resource (AIRR).

This initial funding opportunity will award two grants. These are:

  • an 18-month research grant at up to £7.5 million FEC (EPSRC will fund 80% of the FEC which is up to £6 million) along with 3M GPU hours via the AIRR
  • a six year training grant to support a minimum of 10 students at up to £1.9 million FEC (EPSRC will fund 100% of the FEC)

All utilisation of compute resource via the AIRR is subject to scheduling prioritisation to ensure system use aligns with His Majesty’s Government (HMG) objectives, such as responding to national crises or enabling large-scale research for public benefit. Where this prioritisation disrupts the grant’s planned work, advance notice will be given and support provided to reschedule usage promptly.

The successful awardee will be expected to work closely with EPSRC and Department for Science, Innovation and Technology (DSIT) to develop and set up the research lab, building their strategic vision and plan.

At approximately six months after the start of the grant, the awardee will submit a detailed application for a five year research grant starting 1 May 2027. The assessment process and timeline for the review will be confirmed but is expected to involve submission of a full proposal covering all aspects of the lab for review by an expert interview panel.

We will aim to confirm outcomes of the stage gate review by the start of February 2027. Further details on this stage gate process will be communicated to the successful applicant.

Expectations

Over the lifetime of the investment the lab should:

  • bring together partners and institutions around an independent research agenda and a single vision with the potential to shape the trajectory of AI model development targeting areas not currently pursued by commercial AI labs
  • deliver world class fundamental research in AI, building capability and capacity and delivering a wide range of outputs and impact for the UK society and economy
  • ensure that the fundamental developments can be translated towards market and utilisation, where possible through open sourcing and by actively enabling industry take up, directly realising benefit for the UK
  • use the flexibility offered by the long-term funding to deliver high impact research, adapting to an ever-evolving landscape and remaining at the forefront of fundamental AI development
  • strengthen the UK’s talent pipeline, building on a clear track-record of doctoral training and support for post-doctoral researchers, as well as evidenced potential to attract international experts to the UK
  • attract substantial match funding and resource from industry or other partners building towards sustainability by the end of the award
  • genuinely integrate research and skills aspects of the award to deliver against the strategic aims of the funding opportunity
  • be inclusive and open to collaboration and growth through working with new partners
  • give consideration to the advancement and training of those engaged in the lab from every career stage and support the development of a healthy, diverse, and inclusive AI talent and skills pipeline
  • build in ongoing monitoring and evaluation processes which use an outcomes focus and ensure active engagement with an independent advisory board
  • demonstrate a commitment to making data, code, and implementation as open as possible

The lab should be a leader within the landscape, driving forward the national and international AI research agenda.

At this initial stage applicants are expected to have:

  • an ambitious independent research agenda and a single vision with the potential to shape the trajectory of AI model development, targeting areas not currently pursued by commercial AI labs
  • an initial plan for how, over the first six months of the award they will bring together partners and institutions and build a flexible long-term centre of research excellence which address the expectations detailed above
  • a delivery plan for the initial 18 month grant including how this will be managed flexibly and strategically as the lab is set up
  • a plan for how students’ engagement in the investment will help to support a sustainable AI ecosystem and prepare globally competitive researchers for a range of sectors and careers

Successful applicants to this initial funding opportunity will need to demonstrate:

  • world-leading expertise in fundamental AI as evidenced by a clear track record of outputs and outcomes
  • transformational leadership and management experience of the set up and operation of large, complex programmes
  • excellence in delivering training and people development
  • a realistic approach to managing the funds available within the fixed timeline and a clear risk management plan and mitigations to avoid slippage

We do not expect or require any project partners to be added to this initial application.

Structure of the lab

We are not being prescriptive with regards to the structure of the lab but suggest sensible aspects will include:

  • a virtual or physical centre which is multi-institutional where appropriate but based around a ‘lead’ research organisation
  • a lab director (academic) with a proven track record of managing large groups and excellence within fundamental AI
  • a training lead with a proven track record of delivering postgraduate training (they may also be named as project lead for the training grant during the award stage)
  • a wider leadership team, representative across the different disciplines involved in the lab, from varying career stages
  • a small coordinating management body (which includes a lab manager , a technical lead, a finance lead, a monitoring and evaluation lead, an equality, diversity and inclusion lead) and an operations team that will ensure that the lab runs efficiently
  • postdoctoral research assistants (PDRAs) and students distributed across the lab
  • appropriate advisory and governance structures (see relevant section) including, as a minimum, an independent advisory board

At this initial stage you should detail your planned approach to standing up the lab and a proposed steady state structure. We recognise this structure is likely to evolve and will be reviewed again at the stage gate.

Governance

For this grant, there will be additional conditions to the standard research grant conditions . There will also be additional conditions to the standard training grant conditions. These will be confirmed at the point of award.

Running up to the stage gate review the successful awardee will be expected to work closely with EPSRC and DSIT to develop and set up their research lab, meeting at least monthly.

Once up and running the successful applicant team will be expected to engage with EPSRC and DSIT in the following ways (this list is not exhaustive):

  • include EPSRC on their leadership board
  • convene an independent advisory board that meets quarterly and covers industry, DSIT and academia
  • have active and regular engagement with a UKRI officer

Monitoring and evaluation

The lab will be required to provide key monitoring information as part of the award. The mandatory monitoring will be confirmed at the start of the award but will include:

  • six monthly updates focused on key outputs and outcomes
  • annual reports focused on progress against lab aims, key outputs, outcomes, impacts, future plans and financial reporting
  • final report detailing key outputs, outcomes, and impacts
  • standard Researchfish reporting
  • regular reviews likely at the three year and five year marks
  • completion of the UKRI studentship data portal
  • UKRI training grant annual monitoring

During the first six months of the award, the lab will be expected to work with EPSRC to develop a logic model and theory of change which will be expected to underpin the labs’ own monitoring and evaluation approach.

Stakeholder collaboration

Due to the scale of the lab, significant collaboration and leverage (cash or in-kind) will be expected from project partners (for example, business, public sector, third sector) over the lifetime of the investment. This may include models such as endowing chairs, supplemention of academic salaries or hosting academics within facilities.

It is expected that the leadership team of the lab should contain a demonstrable track record of engagement of this type. However, inclusion of project partners on an application is not expected or permitted at this initial stage. Where applicants have substantive relevant partnerships, these can be detailed in the application text.

The successful awardees will be expected to build broader partnerships and include project partners at the stage gate.

We expect collaborations to build a mutually beneficial two-way relationship based on:

  • expertise
  • secondments in both directions
  • products
  • infrastructures

In addition, partnerships with stakeholders should support the lab to remain at the forefront of AI development building awareness of current trends and commercial needs and priorities.

Clear plans for engaging with new and existing collaborators during the set up of the lab should be detailed in application text. Please see the application guidance section for more information.

We expect bidders to demonstrate how they will engage and collaborate with stakeholders across all parts of the UK. This is in recognition of the diverse nature of the research and innovation landscape for AI across the UK, and the national role that the lab will play in the EPSRC portfolio.

Equality, diversity and inclusion (EDI)

As a leader in the community, the lab will be expected to embed EDI in all their activities throughout the lifetime of the investment.

If funded, this will include identifying the specific EDI challenges and barriers in their own environment and developing a strategy to address these, with reference to our published expectations for EDI.

The lab must ensure that they request appropriate resources to develop and deliver their EDI strategy effectively. This must include at least one costed staff post with responsibility for EDI (the lab EDI lead).

The lab should include information on EDI resources (including the mandatory costed staff post for the EDI lead and any other resources, for example mentoring schemes, training, workshops and data exercises) in the justification of resources document.

Responsible innovation and trusted research

We are fully committed to developing and promoting responsible innovation and trusted research.

Research has the ability to not only produce understanding, knowledge and value, but also unintended consequences, questions, ethical dilemmas and, at times, unexpected social transformations.

We recognise that we have a duty of care to:

  • promote approaches to responsible innovation that will initiate ongoing reflection about the potential ethical and societal implications of the research that we sponsor
  • encourage our research community to do likewise

The lab will be required to embed principles of responsible innovation and those of trusted research throughout their activities and will be expected to engage with the relevant regulatory bodies where concerns may arise under the National Security and Investment Act. Aspects of bias, privacy, security and ethics should be considered where appropriate.

Sustainability

UKRI’s environmental sustainability strategy lays out our ambition to actively lead environmental sustainability across our sectors. This includes a vision to ensure that all major investment and funding decisions we make are directly informed by environmental sustainability, recognising environmental benefits as well as potential for environmental harm.

Environmental sustainability is a broad term but may include consideration of such broad areas as:

  • reducing carbon emissions
  • protecting and enhancing the natural environment and biodiversity
  • waste or pollution elimination
  • resource efficiency and a circular economy

EPSRC expects the lab to embed careful consideration of environmental sustainability at all stages of the research process and throughout the operations of the lab.

Doctoral studentships

The Fundamental AI Research Lab funding opportunity provides funding for at least 10 doctoral students. This is in recognition of the lab representing an exciting opportunity for students to train and acquire skills that support the development of a healthy, diverse, and inclusive AI talent pipeline.

The students will also benefit from the drawing together of vibrant, balanced teams which combine doctoral and post-doctoral research and build leadership for the future of AI in the UK.

The inclusion of doctoral studentships must add value to the proposed research, and to the student compared to UKRI’s existing training grant routes. Students must be provided with a clear opportunity for a distinct and independent course of enquiry and receive any additional training that would be useful for their research but is not available through existing programmes.

The lab must be viable without the studentships, with distinct objectives that are not reliant upon the studentships. In your application, you should clearly explain how the students will benefit from being part of the research team.

The host organisation should have a track record of training doctoral students. Doctoral students supported through the lab must be provided with the opportunity to develop their substantive research skills as well as with broader professional development opportunities.

Evidence of an appropriate training environment that meets UKRI’s expectations for doctoral training should be provided in your application.

A cohort approach to training through peer-to-peer learning should be provided throughout the lifetime of a student’s doctoral training programme. UKRI also expects that other doctoral students aligned with the research programme, but funded from other sources, would have the same training environment and opportunities as those students funded by the lab.

We welcome innovative approaches to the recruitment of students and delivery of doctoral training.

The successful applicant will be expected to engage with other key actors in the UK AI research and innovation landscape to share best practice for training and maximise the value of the investment.

Studentships should be four years in duration (full-time equivalent) – part-time studentships are allowed . Studentships may start in the 2026 to 2027 and 2027 to 2028 academic years.

Careful consideration should be given to the overall staff resource on the lab and the balance between the different types of staff resource available. To ensure that postdoctoral researchers have sufficient time to support and train students alongside their research, funding should be requested for a minimum of the full time equivalent of six research and innovation associates to support the 10 or more doctoral students.

You should ensure there are a sufficient number of supervisors, and that each has sufficient time to supervise students. This time cannot be charged to the grant.

UKRI’s EU and international eligibility for UKRI studentships from 2021 will apply. Due to the strategic nature of this funding opportunity, a maximum of 50% of the individuals funded by UKRI through this grant may be international students.

Duration

The duration of the training grant is six years; the duration of the initial research grant is 18 months.

Projects are expected to start on 1 May 2026.

Funding available

The FEC of your research grant can be up to £7.5 million. The FEC of your training grant can be up to £1.9 million.

We will fund 80% of the FEC of the research grant and up to 100% of the FEC of the training grant.

These awards will provide the initial funding from a large programme in Fundamental AI. If successful, you will be invited to apply for a subsequent five year research grant opportunity of up to £40 million at 100% FEC. If successful, you will receive the equivalent of up to 2 million GPU hours of in kind AIRR compute time per year.

Research grant

This includes all eligible costs at 80% FEC, except for doctoral studentships.

Resources may be used for research expenses including but not limited to:

  • UKRI-funded research facilities. Please note that if you plan to use a major facility in your research, such as those funded centrally by EPSRC or a European facility, contact the facility before applying to EPSRC to check if your proposed research is feasible, and obtain a technical assessment if the Joint Electronic Submission (Je-S) system marks it as required
  • travel
  • research technical support including research software engineers, data scientists, postdoctoral research assistants and fellow salaries
  • roles recognised as a professional research investment and strategy manager (PRISM) positions that enable the research delivery and support the research environment
  • training
  • other standard expenses
    smaller items of equipment, individually under £25,000, and consumables should be in the ‘Directly Incurred – Other Costs’ heading.

Resources may also be used for activities that initiate, grow, and maintain collaborations with stakeholders (for example academia, business, government, third sector) such as:

  • secondments
  • staff exchanges
  • regular travel

Training grant

UKRI will fund 100% of eligible costs related to doctoral students. Funding is available for at least 10 doctoral students.

Please note: all funding for doctoral studentships should be excluded from the ‘Resources and Cost’ section of your application on UKRI’s Funding Service. This funding will ultimately be issued as a separate training grant at the award stage. All applicants are required to complete the following template for doctoral studentship costings (XLSX, 22KB) and submit with their application.

Eligible costs vary between UKRI training grants, so please check the lists below for full details. All doctoral student costs requested in applications should be calculated at your chosen rates for the 2026 to 2027 academic year with no addition made to consider inflation over the length of the funding period. This includes the appropriate fee rate for your institution, stipend rates at or above the UKRI minimum and research training support grant (RTSG) costs.

UKRI will include an allowance for fee and stipend indexation at the final funding stage.

Extensions to the separate training grant will only be considered under exceptional circumstances, in line with the UKRI training grant terms and conditions. Funding cannot be transferred between the research grant and the training grant.

Tuition fees

Fees charged to UKRI cannot be higher than the fee charged by the university for home funded students on similar programmes. The UKRI minimum rate for 2026 to 2027 is £5,238.

Stipends

The stipends must be at least at the minimum rates published by UKRI; for 2026 to 2027, this is £21,805. We will not cover additional college fees. You may request funding for enhanced stipends, where justified in the context of the area of research and training and UK skills need. A top-up may be achieved through using business leverage rather than requesting further UKRI funding.

Research training support grant (RTSG)

This covers items for individual students such as travel, consumables, and facility access where this is linked to conducting the research of the project, or specialised training such as a summer school only being attended by a student due to their project.

Management

This covers costs for the development, delivery and management of activities specific to the doctoral students funded through this grant. This should total no more than £350,000. Costs associated with student supervision may not be included.

What we will not fund

Equipment over £25,000 in value (including VAT) is not permitted on this initial grant.

Supporting skills and talent

We encourage you to follow the principles of the Concordat to Support the Career Development of Researchers and the Technician Commitment.

Trusted Research and Innovation (TR&I)

UKRI is committed in ensuring that effective international collaboration in research and innovation takes place with integrity and within strong ethical frameworks. Trusted Research and Innovation (TR&I) is a UKRI work programme designed to help protect all those working in our thriving and collaborative international sector by enabling partnerships to be as open as possible, and as secure as necessary. Our TR&I Principles set out UKRI’s expectations of organisations funded by UKRI in relation to due diligence for international collaboration.

As such, applicants for UKRI funding may be asked to demonstrate how their proposed projects will comply with our approach and expectation towards TR&I, identifying potential risks and the relevant controls you will put in place to help proportionately reduce these risks.

See further guidance and information about TR&I, including where applicants can find additional support.

How to apply

If you intend to apply to this funding opportunity, your lead research organisation must complete this survey by 16 March 2026: Fundamental AI Research Lab Intent to Apply

We are running this funding opportunity on the new UK Research and Innovation (UKRI) Funding Service so please ensure that your organisation is registered. You cannot apply on the Joint Electronic Submissions (Je-S) system.

The project lead is responsible for completing the application process on the Funding Service, but we expect all team members to contribute to the application.

Only the lead research organisation can submit an application to UKRI.

To apply

Select ‘Start application’ near the beginning of this Funding finder page.

  1. Confirm you are the project lead.
  2. Sign in or create a Funding Service account. To create an account, select your organisation, verify your email address, and set a password. If your organisation is not listed, email support@funding-service.ukri.org
    Please allow at least 10 working days for your organisation to be added to the Funding Service. We strongly suggest that if you are asking UKRI to add your organisation to the Funding Service to enable you to apply to this Opportunity, you also create an organisation Administration Account. This will be needed to allow the acceptance and management of any grant that might be offered to you.
  3. Answer questions directly in the text boxes. You can save your answers and come back to complete them or work offline and return to copy and paste your answers. If we need you to upload a document, follow the upload instructions in the Funding Service. All questions and assessment criteria are listed in the How to apply section on this Funding finder page.
  4. Allow enough time to check your application in ‘read-only’ view before sending to your research office.
  5. Send the completed application to your research office for checking. They will return it to you if it needs editing.
  6. Your research office will submit the completed and checked application to UKRI.

Where indicated, you can also demonstrate elements of your responses in visual form if relevant.

Please be aware that research office and finance teams undertake checks on hosting arrangements and financial eligibility. The ultimate responsibility for ensuring compliance with all opportunity requirements lies with the applicant.

When including images, you must:

  • provide a descriptive caption or legend for each image immediately underneath it (this must be outside the image and counts towards your word limit).
  • insert each new image onto a new line.
  • use files smaller than 5MB and in JPEG, JPG, JPE, JFI, JIF, JFIF, PNG, GIF, BMP or WEBP format.

Images should only be used to convey important visual information that cannot easily be put into words. The following are not permitted, and your application will be rejected if you include:

  • sentences or paragraphs of text
  • tables
  • excessive quantities of images

A few words are permitted where the image would lack clarity without the contextual words, such as a diagram, where text labels are required for an axis or graph column.

For more guidance on the Funding Service, see:

References

References should be included within the word count of the appropriate question section. You should use your discretion when including references and prioritise those most pertinent to the application.

Hyperlinks can be used in reference information. When including references, you should consider how your references will be viewed and used by the assessors, ensuring that:

  • references are easily identifiable by the assessors
  • references are formatted as appropriate to your research
  • persistent identifiers are used where possible

General use of hyperlinks

Applications should be self-contained. You should only use hyperlinks to link directly to reference information. You must not include links to web resources to extend your application. Assessors are not required to access links to conduct assessment or recommend a funding decision.

Generative artificial intelligence (AI)

Use of generative AI tools to prepare funding applications is permitted, however, caution should be applied.

For more information see our policy on the use of generative AI in application and assessment.

Deadline

EPSRC must receive your application by 31 March 2026 at 4:00pm UK time.

You will not be able to apply after this time.

Make sure you are aware of and follow any internal institutional deadlines.

Following the submission of your application to this funding opportunity, your application cannot be changed, and submitted applications will not be amended. If your application does not follow the guidance, it may be rejected.

If an application is withdrawn prior to peer review or office rejected due to substantive errors in the application, it cannot be resubmitted to the funding opportunity.

Personal data

Processing personal data

EPSRC, as part of UKRI, will need to collect some personal information to manage your Funding Service account and the registration of your funding applications.

We will handle personal data in line with UK data protection legislation and manage it securely. For more information, including how to exercise your rights, read our privacy notice.

EPSRC may share the application and any personal information that it contains with DSIT. For more information on how DSIT uses personal information, visit DSIT consultations: privacy notice.

Sensitive information

If you or a core team member need to tell us something you wish to remain confidential, email TFSchangeEPSRC@epsrc.ukri.org

Include in the subject line: [the funding opportunity title; sensitive information; your Funding Service application number].

Typical examples of confidential information include:

  • individual is unavailable until a certain date (for example due to parental leave)
  • declaration of interest
  • additional information about eligibility to apply that would not be appropriately shared in the ‘Applicant and team capability’ section
  • conflict of interest for UKRI to consider in reviewer or panel participant selection
  • the application is an invited resubmission

For information about how UKRI handles personal data, read UKRI’s privacy notice.

Institutional matched funding

There is no requirement for matched funding from the institutions hosting the project lead, project co-leads or other staff employed on this initial application, beyond the standard 20% FEC. Expert reviewers and panels assessing UKRI funding applications must not consider levels of institutional matched funding as a factor on which to base recommendations.

This policy does not remove the need for support from host organisations who must provide the necessary research environment and infrastructure for award-specific activities funded by UKRI. For example, research facilities, training and development of staff.

Publication of outcomes

EPSRC, as part of UKRI, will publish the outcomes of this funding opportunity at EPSRC Funding Applications Outcomes.

If your application is successful, we will publish some personal information on the UKRI Gateway to Research.

Summary

Word limit: 550

In plain English, provide a summary we can use to identify the most suitable experts to assess your application.

We usually make this summary publicly available on external-facing websites, therefore do not include any confidential or sensitive information. Make it suitable for a variety of readers, for example:

  • opinion-formers
  • policymakers
  • the public
  • the wider research community

Guidance for writing a summary

Clearly describe your proposed work in terms of:

  • context
  • the challenge the project addresses
  • aims and objectives
  • potential applications and benefits

Core team

List the key members of your team and assign them roles from the following:

  • project lead (PL)
  • project co-lead (UK) (PcL)
  • project co-lead (international) (PcL (I))
  • specialist
  • grant manager
  • professional enabling staff
  • research and innovation associate
  • technician
  • visiting researcher
  • researcher co-lead (RcL)

Only list one individual as project lead

UKRI has introduced a new addition to the ‘Specialist’ role type. Public contributors such as people with lived experience can now be added to an application.

Find out more about UKRI’s core team roles in funding applications.

Vision and Approach (Primary Criterion)

Create a document that includes your responses to all criteria. The document should not be more than 4 sides of A4, single spaced in paper in 11-point Arial (or equivalent sans serif font) with margins of at least 2cm. You may include images, graphs, tables. You can have an additional page for a diagrammatic workplan.

For the file name, use the unique Funding Service number the system gives you when you create an application, followed by the words ‘Vision and Approach’.

Save this document as a single PDF file, no bigger than 8MB. Unless specifically requested, please do not include any sensitive personal data within the attachment.

If the attachment does not meet these requirements, the application will be rejected.

The Funding Service will provide document upload details when you apply.

What are you hoping to achieve with and how will you deliver your proposed work?

What the assessors are looking for in your response

For the Vision, explain how your proposed work:

  • is of excellent quality and importance within or beyond the field(s) or area(s)
  • has the potential to advance current understanding, generates new knowledge, thinking or discovery within or beyond the field or area
  • is timely given current trends, context and needs
  • impacts world-leading research, society, the economy or the environment

The following should also be included to support your response:

  • how your proposed lab will have an ambitious independent research agenda and a single vision with the potential to shape the trajectory of AI model development targeting areas not currently pursued by commercial AI labs
  • how the lab will ensure that fundamental developments can be translated towards market or utilisation, where possible, through open sourcing

For the Approach, explain how you have designed your work so that it:

  • is effective and appropriate to achieve your objectives
  • is feasible, and comprehensively identifies any risks to delivery and how they will be managed
  • if applicable, uses a clear and transparent methodology
  • if applicable, summarises the previous work and describes how this will be built upon and progressed
  • will maximise the potential to translate outputs into outcomes and impacts
  • describes how your, and if applicable your team’s, research environment (in terms of the place, and relevance to the project) will contribute to the success of the work

The following should also be included to support your response:

  • an initial plan for how over the first six months of the award you will bring together partners and institutions and build a flexible long-term centre of research excellence which will address the expectations detailed in the “what we are looking for” section
  • a delivery plan for the initial 18-month grant including how this will be managed flexibly and strategically as the lab is set up
  • evidence of ability to attract and retain staff and students to enable the viability of the lab
  • details of your realistic approach to managing the funds available within the fixed timeline and a clear risk management plan and mitigations to avoid slippage
  • a plan which illustrates your proposed usage of the in-kind AIRR compute resource

Applicant and team capability to deliver (primary criterion)

Word limit: 2,000

Why are you the right individual or team to successfully deliver the proposed work?

What the assessors are looking for in your response

Evidence of how you, and if relevant your team, have:

  • world-leading expertise in fundamental AI as evidenced by a clear track record of outputs and outcomes
  • the relevant experience (appropriate to career stage) to deliver the proposed work
  • experience of being and remaining at the forefront of fundamental AI development and building and maintaining the stakeholder partnerships necessary to enable this
  • the right balance of skills and expertise to lead the lab and deliver the proposed work
  • the appropriate leadership and management skills to deliver the lab and your approach to develop others
  • transformational leadership and management experience of the set up and management of large, complex programmes
  • contributed to developing a positive research environment and wider community
  • excellence in delivering training and people development

You may demonstrate elements of your responses in visual form if relevant. Further details are provided in the Funding Service.

The word count for this section is 2,000 words: 1,500 words to be used for R4RI modules (including references) and, if necessary, a further 500 words for Additions.

Use the Résumé for Research and Innovation (R4RI) format to showcase the range of relevant skills you and, if relevant, your team (project and project co-leads, researchers, technicians, specialists, partners and so on) have and how this will help deliver the proposed work. You can include individuals’ specific achievements but only choose past contributions that best evidence their ability to deliver this work.

Complete this section using the R4RI module headings listed. Use each heading once and include a response for the whole team, see the UKRI guidance on R4RI. You should consider how to balance your answer, and emphasise where appropriate the key skills each team member brings:

  • contributions to the generation of new ideas, tools, methodologies, or knowledge
  • the development of others, at all levels, and the maintenance of effective working relationships
  • contributions to the wider research and innovation community
  • contributions to broader research or innovation users and audiences and towards wider societal benefit

Additions

Provide any further details relevant to your application. This section is optional and can be up to 500 words. You should not use it to describe additional skills, experiences, or outputs, but you can use it to describe any factors that provide context for the rest of your R4RI (for example, details of career breaks if you wish to disclose them).

Complete this as a narrative. Do not format it like a CV.
References may be included within this section.

The roles in funding applications policy has descriptions of the different project roles.

Resources and cost justification (secondary criterion)

Word limit: 1,000

What will you need to deliver your proposed work and how much will it cost?

Please note: all funding for doctoral studentships should be excluded. This funding will ultimately be issued as a separate training grant at the award stage.

What the assessors are looking for in your response

Justify the application’s more costly resources, in particular:

  • project staff
  • significant travel for field work or collaboration (but not regular travel between collaborating organisations or to conferences)
  • any consumables beyond typical requirements, or that are required in exceptional quantities
  • all facilities and infrastructure costs
  • all resources that have been costed as ‘Exceptions’

You can request costs associated with reasonable adjustments where they increase as a direct result of working on the project. For further information see Disability and accessibility support for UKRI applicants and grant holders.

Assessors are not looking for detailed costs or a line-by-line breakdown of all project resources. Overall, they want you to demonstrate how the resources you anticipate needing for your proposed work:

  • are comprehensive, appropriate, and justified
  • represent the optimal use of resources to achieve the intended outcomes
  • maximise potential outcomes and impacts

Ethics and responsible research and innovation (RRI) (secondary criterion)

Word limit: 500

What are the ethical or RRI implications and issues relating to the proposed work? If you do not think that the proposed work raises any ethical or RRI issues, explain why.

What the assessors are looking for in your response

Demonstrate that you have identified and evaluated:

  • the relevant ethical and RRI considerations, including both the research or topic area itself and the design and delivery of the project
  • the wider implications of the proposed work, and how you will maximise the positive societal, environmental, and economic benefits arising from the project, whilst minimising unintended negative impacts, such as research misuse or accidental harm
  • how you will manage these considerations throughout the lifecycle of the project

If you are collecting or using data, you should identify:

  • any legal and ethical considerations of collecting, releasing and storing the data (including consent, confidentiality, anonymisation, security and other ethical considerations and, in particular, strategies to not preclude further re-use of data)
  • formal information standards that your proposed work will comply with

Additional sub-questions (to be answered only if appropriate) relating to research involving:

  • animals
  • human participants
  • genetically modified organisms

You may demonstrate elements of your responses in visual form if relevant. Further details are provided in the Funding Service.

Please refer to the UKRI position statement on funding ethical research and Responsible innovation for more information around our expectations on ethical and responsible research and innovation.

Application questions

Training environment (Secondary criterion)

Word limit: 1,000

Please provide a justification for the doctoral studentships.

What the assessors are looking for in your response

The Fundamental AI Lab funding opportunity provides funding for at least 10 doctoral students. This is in recognition of the Lab representing an exciting opportunity for students to train and acquire skills that support the development of a healthy, diverse, and inclusive AI talent pipeline.

The inclusion of doctoral studentships must add value to the proposed research, and to the student who must be provided with a clear opportunity for a distinct and independent course of enquiry.

In line with the above explanation, please provide a justification for any doctoral studentships. Ensure that you have included:

  • a clear vision for the added value of associating doctoral training with the lab, including detail of how the students’ engagement in the investment will play a notable role in establishing a sustainable AI ecosystem
  • how you will embed delivery of UKRI’s statement of expectations for doctoral training. You should aim to build students’ understanding of what conducting high quality research involves, and prepare globally competitive researchers for a range of sectors and careers
  • how you and the host organisation will champion and embed equality, diversity, and inclusion (EDI) across all aspects of the training grant, and create and maintain a positive, inclusive, and supportive environment for all students and staff involved
  • how you will support a cohort-based approach to training
  • detail that demonstrates you have secured the appropriate research and pastoral capacity to support the number of studentships that you expect to deliver through this award regardless of whether the second-stage five year research grant is awarded or not

The positive, inclusive, and supportive environment created and maintained by you and the host organisation is expected to address a variety of needs and support good wellbeing. You should have an appropriate track record of supporting the training and development of others and of research and pastoral capacity to support the studentships.

You may demonstrate elements of your responses in visual form if relevant. Further details are provided in the Funding Service.

Doctoral students (secondary criterion)

Word limit: 500

All applicants are required to complete the following template for doctoral studentship costings(XLSX, 22KB) and submit as an attachment here.

Create a document that includes the completed template. For the file name, use the unique Funding Service number the system gives you when you create an application, followed by the words ‘Doctoral Studentship Costings’. Save this document as a single PDF file, no bigger than 8MB. Unless specifically requested, please do not include any sensitive personal data within the attachment.

The overall or individual funding levels do not need to be justified where these have been mandated by UKRI.

Through the costings template , indicate the total number of students that you expect your programme will support (across all funding sources). Also indicate the number of full-time equivalent studentships that either UKRI has indicated it will support, or you are requesting.

Outline the main uses of the following funding:

Total: RTSG, research support costs

Outline your approach to costing the research and training costs associated with individual studentship projects or tailored, individual student training in support of your vision and approach.

Total: other costs, programme-wide initiatives

Outline costs of group training and other overarching activities through the programme that will support your vision and approach.

Total: staff, management costs connected to programme delivery

You must not include costs standard to all doctoral studentships for example not general administration or supervision.

You do not need to justify the following unless the funding opportunity has afforded you flexibility:

Total: student stipend

Stipend costs only, where enhancements are requested.

Total: fees

Tuition fee costs only, for example requests above UKRI’s standard level.

You should describe any co-funder contributions to the programme’s costs.

Assessors are not looking for detailed costs or a line-by-line breakdown of all resources. Overall, they want you to demonstrate how the resources you anticipate needing for your proposed work:

  • are comprehensive, appropriate, and justified
  • represent the optimal use of resources to achieve the intended outcomes
  • maximise potential outcomes and impacts

Co-creation and Stakeholder Engagement (secondary criterion)

Word limit : 1,000

Please describe:

  • how your proposed team of researchers and stakeholders, including EPSRC and DIST, will be assembled to work collaboratively towards the joint vision and the set up of the lab
  • how you will plan to engage new and existing stakeholders and further co-create the research challenges and vision throughout the life of the programme
  • existing and potential partnerships should be described as part of the response to this section

Your organisation’s support (secondary major criterion)

Word limit: 1,000

Provide details of support from your research organisation.

What the assessors are looking for in your response

Provide a Statement of Support from your research organisation detailing how they will support the lab and the proposed activities. This should include details of any additional support that might add value to the lab.

Assessors will be looking for a strong statement of support from your research organisation. This information should have been approved for submission by vice chancellor or equivalent.

The letter should demonstrate:

  • how the host organisation will support the lab to realise the proposed vision and approach
  • how your research environment will contribute to the success of the work, in terms of suitability of the host organisation and alignment of strategic aims
  • how the host organisation will ensure staff time commitment to the lab is protected
  • what development and training opportunities will be provided and how they form a cohesive career development package tailored to staff aims and aspirations
  • evidence of how the host organisation would recruit and retain doctoral students for the duration of the training grant and beyond
  • details of any support your institution will provide such as practical support, access to the appropriate services, facilities, infrastructure, or equipment, which is being provided and how this strengthens your application
  • evidence of how the host organisation would take a creative approach to recruiting and retaining staff to meet the expected profiles and grant timing
  • how the host organisation will support the lab to build towards sustainability over the life of the grant
  • how the host organisation will create and maintain a positive, inclusive, and supportive environment for all doctoral students supported by or involved in this lab, addressing a variety of needs and supporting good wellbeing, including relevant, specific support and training for supervisors where needed. Host organisation support should meet UKRI’s statement of expectations for doctoral training

You must also include the following details:

  • a significant person’s name, their position and office or department, or all
  • office address or web link

How we will assess your application

Assessment process

We will assess your application using the following process. In the event of this funding opportunity being substantially oversubscribed as to be unmanageable, EPSRC reserve the right to modify the assessment process.

Interview

An expert interview panel will conduct interviews with applicants after which the panel will make a funding recommendation to EPSRC. Additional input in the form of written reviews may be used to supplement the panel expertise. These will be shared with applicants ahead of the interviews. Applicants will have the opportunity to respond to any comments during the interview.

Interviews will be held on Thursday 16 April 2026 and Friday 17 April 2026. We expect interviews to be hybrid with applicants co-located at a remote location of their choice. Interview timings will be confirmed with applicants by Monday 13 April 2026. ESPRC will endeavour to do this sooner if possible.

We would expect applicant interview teams to be made up of the academic lead, training lead, a senior leader from the university (pro vice-chancellor, vice-chancellor or similar) and one additional person. Applicant teams should consider equality and diversity when putting together leadership and interview teams.

In addition to the recommendations of the panel, although quality will be the primary consideration, EPSRC will consider the strategic context when making the final funding decision.

Principles of assessment

We support the San Francisco declaration on research assessment and recognise the relationship between research assessment and research integrity.

Find out about the UKRI principles of assessment and decision making

Using generative artificial intelligence (AI) in expert review

Reviewers and panellists are not permitted to use generative AI tools to develop their assessment, including to correct language, spelling, grammar and formatting. Using these tools can potentially compromise the confidentiality of the ideas that applicants have entrusted to UKRI to safeguard.

For more detail see our policy on the use of generative AI.

Assessment areas

We will use the following weighted criteria for this funding opportunity:

  • Vision and approach (primary criterion)
  • Applicant and team capability (primary criterion)
  • Host organisation support (secondary major criterion)
  • Training environment (secondary major criterion)
  • Co-creation and stakeholder engagement (secondary criterion)
  • Resources and cost justification (secondary criterion)
  • Ethics and responsible research and innovation (RRI) (secondary criterion)
  • Doctoral students (secondary criterion)

Find details of assessment questions and criteria under the ‘Application questions’ heading in the ‘How to apply’ section.

Contact details

Get help with your application

If you have a question and the answers aren’t provided on this page

The Helpdesk is committed to helping users of the UK Research and Innovation (UKRI) Funding Service as effectively and as quickly as possible. In order to manage cases at peak volume times, the Helpdesk will triage and prioritise those queries with an imminent opportunity deadline or a technical issue. Enquiries raised where information is available on the Funding Finder opportunity page and should be understood early in the application process (for example, regarding eligibility or content/remit of an opportunity) will not constitute a priority case and will be addressed as soon as possible.

Contact details

For help and advice on costings and writing your proposal please contact your research office in the first instance, allowing sufficient time for your organisation’s submission process.

For questions related to this specific funding opportunity please contact ai.robotics@epsrc.ukri.org

Any queries regarding the system or the submission of applications through the Funding Service should be directed to the helpdesk.

Email: support@funding-service.ukri.org
Phone: 01793 547490

Our phone lines are open:

  • Monday to Thursday 8:30am to 5:00pm
  • Friday 8:30am to 4:30pm

To help us process queries quicker, we request that users highlight the council and opportunity name in the subject title of their email query, include the application reference number, and refrain from contacting more than one mailbox at a time.

For further information on submitting an application read How applicants use the Funding Service

Additional info

Research and innovation impact

Impact can be defined as the long-term intended or unintended effect research and innovation has on society, economy and the environment; to individuals, organisations, and the wider global population.

Research disruption due to COVID-19

We recognise that the COVID-19 pandemic has caused major interruptions and disruptions across our communities. We are committed to ensuring that individual applicants and their wider team, including partners and networks, are not penalised for any disruption to their career, such as:

  • breaks and delays
  • disruptive working patterns and conditions
  • the loss of ongoing work
  • role changes that may have been caused by the pandemic

Reviewers and panel members will be advised to consider the unequal impacts that COVID-19 related disruption might have had on the capability to deliver and career development of those individuals included in the application. They will be asked to consider the capability of the applicant and their wider team to deliver the research they are proposing.

Where disruptions have occurred, you can highlight this within your application if you wish, but there is no requirement to detail the specific circumstances that caused the disruption.

This is the website for UKRI: our seven research councils, Research England and Innovate UK. Let us know if you have feedback or would like to help improve our online products and services.