Now in its third edition, this summer school explores how modern machine learning methods are transforming the way science is done — from data analysis to hypothesis generation and beyond.

Application deadline is the 25 April 2026 23:59 CET

 Extended registration deadline: 29 May 2026

  Aim of the school

This event aims to provide participants with a deep understanding of how AI techniques can be leveraged to accelerate and enhance the scientific discovery process across various domains.

The overarching goal of the summer school is to equip researchers, scientists, and students with the necessary skills and insights to harness the power of AI in their own scientific endeavors and to have an opportunity to explore state-of-of-the art methods in other field to foster cross-disciplinary connections.

By bridging the gap between AI and scientific discovery, this event aims to catalyze groundbreaking advancements and accelerate the pace of scientific progress.

 Format

The summer school will cover a wide range of topics Participants will have the opportunity to engage in hands-on workshops, case studies, and discussions led by renowned experts in the field, fostering a collaborative environment for knowledge sharing and interdisciplinary collaboration.

The programme is designed for: PhD students, post-doctoral students and researchers in science.

 Topics covered 

• Inverse Problems
• Diffusion models and generative models
• Bayesian models and uncertainty estimation
• Transformers for large multi-dimensional dataset
• Recent advancement in agent use in science 

This school is primarily aimed at researchers who are familiar with mathematical modelling, numerical computation and Python programming.

However, if you do not have the necessary prerequisites, you can find pointers to teaching resources that will help you get up to speed: https://ai4science2026.sciencesconf.org/resource/page/id/5. Our aim is to ensure that all participants are equipped with the necessary knowledge and skills to fully engage with and benefit from the programme.

If you have any questions or concerns about the technical requirements of the programme, please don't hesitate to contact us. We're here to support you and help you make the most of this learning opportunity.

Contact: ai4s.registration@ensicaen.fr