IWR School 2026 AI for Science
The summer school is designed for PhD students who want to leverage state-of-the-art AI in their research. Applicants may come from any scientific discipline, including physics, biology, medicine, neuroscience, and climate science.
September 21-25, 2026 • Mathematikon, Heidelberg University
The school offers a comprehensive overview of key topics in Artificial Intelligence and Machine Learning, including Generative AI, Explainability, Simulation-based Inference, Agentic AI, Robustness and Validation of AI Methods, Vision-Language Models, Self-Supervised Learning, Knowledge Integration, and Causality. In addition to expert lectures, the program features hands-on sessions and best-practice sessions focused on how to use the latest AI tools in research.
Participants are expected to have a solid understanding of the core concepts of machine learning.
Speakers
Tabelle
Program (Last Update: July 29, 2026)
Tabelle
| Time | Monday (September 21) | Tuesday (September 22) | Wednesday (September 23) | Thursday (September 24) | Friday (September 25) |
|---|
| Time | Monday (September 21) | Tuesday (September 22) | Wednesday (September 23) | Thursday (September 24) | Friday (September 25) |
|---|---|---|---|---|---|
09:00 - 12:30 | Intro Generative AI and Explainable AI Ullrich Köthe | Flows with Domain Knowledge
Explainable AI | Self-Supervised Learning
Agentic AI in Research | Simulation-based Inference (BayesFlow) Stefan Radev | Geometric Deep Learning Jan Stühmer |
12:30 - 14:00 | Lunch | Lunch | Lunch | Lunch | Lunch |
14:00 - 17:30 | Explainable AI and Knowledge Integration Joachim Denzler | Robustness & Validation of AI methods
Open Discussion: AI Tools for Research | HandsOn Agentic AI Peter Gehler | HandsOn BayesFlow Stefan Radev | |
Evening | Welcome Reception | Student Poster Session | Visit to Heidelberg's Old Town |
Date & Location
September 21-25, 2026
Mathematikon
Im Neuenheimer Feld 205
69120 Heidelberg
Germany
Registration Fee
Members of Heidelberg University / ELIZA: free of charge
External participants: 400,- EURO
The fee covers the attendance to the school, the conference dinner and the coffee breaks.
Application
! Application submission closed !
After your participation is confirmed we will contact you regarding the next steps.
Accommodation
Participants are kindly requested to make their own hotel reservations. Please book as soon as your attendance is confirmed.
Scientific Organizer
Co-Organizer
The Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA) is a graduate school in Artificial Intelligence (AI), funded by the German Academic Exchange Service (DAAD). Coordinated by Technische Universität Darmstadt, ELIZA is a national initiative that builds on the European Laboratory for Learning and Intelligent Systems (ELLIS). ELIZA links seven German ELLIS units across Berlin, Darmstadt, Freiburg, Heidelberg, München, Saarbrücken and Tübingen.
