RAISE Doctoral Networks for AI in Science (RAISE pilot)

Expected Outcome:

This action builds on the MSCA Doctoral Networks 2026 call (HORIZON-MSCA-DN-2026).

The project results are expected to contribute to the following outcomes:

For supported doctoral candidates:

• New research and transferable skills and competences in the application of AI in science, leading to improved employability and career prospects within and outside academia;
• New knowledge allowing the conversion of ideas into products and services, where relevant;
• Enhanced networking and communication capacities with scientific peers, as well as with the general public that will increase and broaden the research and innovation impact.

For participating organisations:

• Improved quality, relevance and sustainability of doctoral training programmes and supervision arrangements;
• Enhanced cooperation and transfer of knowledge between sectors and disciplines;
• Increased integration of training and research activities between participating organisations;
• Boosted R&I capacity and uptake of AI in science;
• Increased internationalisation and attractiveness;
• Regular feedback of research results into teaching and education at participating organisations.

Scope:

Successful RAISE Doctoral Networks and doctoral candidates will be associated with RAISE, the Resource for AI Science in Europe. They will become part of the RAISE research community and will interact with its other members.

As such, the scope of this call is limited to AI (artificial intelligence) in science, as outlined below. Proposals should therefore clearly specify how they meet this “AI in science” criterion.

Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.