Join us in Grenoble, France, for an intensive week dedicated to the intersection of Materials Science and AI.

As part of the PEPR DIADEM ecosystem, this summer school offers a unique opportunity to transition from traditional experimental methods to AI-driven, automated research workflows.

What’s in the program?

• Expert Lectures: Learn from international leaders in high-throughput experimentation and machine learning.
• Hands-on Coding: Practical workshops to implement AI models directly into your research data.
• Site Visits: Exclusive access to Grenoble’s world-class scientific facilities (including the ESRF synchrotron).
• Networking: Build lasting connections with a community of researchers at the forefront of the field.

Target Audience:

• Doctoral students (PhD) & Postdoctoral researchers

• Young researchers in materials science, physics, chemistry or data science
• Scientists wishing to apply AI to materials researchand scientists in materials science, physics, chemistry, or data science who wish to apply AI to their research.
• Master students are also welcome but strong motivation is required as it will be fast paced,

Key Information:

Location: Phelma building, Saint Martin d’Hères - UGA Campus, France https://formation.pepr-diadem.fr/infos-pratiques

Dates:  August 31 to September 4, 2026 

Website:  https://formation.pepr-diadem.fr/summer-school

Language:  English

Registration: closes on 30 April at 23:59 

Price: Free for DIDAEM and French research institutions (a fee will be charged to private sector participants)

⚠️️ Conditions:  Participation is subject to application and acceptance. Places are limited ! 

Don’t miss out! Applications are now open. Visit our website to explore the full program and submit your candidacy: https://formation.pepr-diadem.fr/summer-school

Important Note on the Curriculum: Please note that this is an intensive, high-paced week covering a wide range of topics. To get the most out of the hands-on sessions, we strongly recommend that participants familiarise themselves a little bit with Linux and Python basics prior to the school. (Links on our information page : https://formation.pepr-diadem.fr/en-details)

Join us to bridge the gap between materials science and artificial intelligence!