Funder
EPSRC: Artificial intelligence hubs for real data and for scientific and engineering research
Added date
24/11/2022
Closing date
09/02/2023
Call summary
The Engineering and Physical Sciences Research Council invites applications for its artificial intelligence hubs for real data and for scientific and engineering research call. This supports funding for a research hub in either artificial intelligence (AI) for real data or AI for scientific and engineering research. Funded hubs under this programme will be expected to address world-class fundamental research in AI, healthy, diverse and inclusive AI talent and skills pipeline, engage with key stakeholders, inclusivity and work with other funded activities. The total EPSRC funding available for this opportunity will be up to £60 million to fund up to 8 hubs. The full economic cost of projects may be up to £12 million. EPSRC will fund 80 per cent of the full economic cost. Up to £1 million is available for pump-priming. Due to the nature of the programme, there will be additional requirements on reporting, monitoring and evaluation, and grant extensions. This will be reflected in the grant additional conditions, and those funded will need to comply with them.
Scientific scope
Theoretical Computer Science; Artificial Intelligence
PI eligibility
Research grants are open to UK higher education institutions, public sector research establishments and UK Research and Innovation (UKRI) approved independent research organisations and NHS bodies with research capacity.
You can apply if you are resident in the UK and meet at least one of the below:
•are employed at the submitting research organisation at lecturer level or above;
•hold a fixed-term contract that extends beyond the duration of the proposed project, and the host research organisation is prepared to give you all the support normal for a permanent employee;
•hold an EPSRC, Royal Society or Royal Academy of Engineering fellowship aimed at later career stages;
•hold fellowships under other schemes (considered on a case-by-case basis).