Initial training
Scientific coordinators: Noël JAKSE / Marco SAITTA
Administrative coordinator: Sonia Collaud
Summer school
Organized annually, it offers a hybrid curriculum combining:
- fundamental courses on machine learning applied to materials,
- guest lectures by international experts,
- hands-on workshops using digital tools and real-world datasets,
- group projects promoting the application of acquired skills.
Hackathon
For three to four months, the groups will work remotely on real data provided as part of the project. The challenge will focus on a concrete issue related to AI-assisted material discovery or analysis.
Master’s Scholarships
A Master’s scholarship program to support students wishing to pursue a course of study at the intersection of AI and materials science at the project’s partner universities.