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, climate science.
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 latest AI-Tools in Research.
Participants are expected to have a solid understanding of the core concepts of machine learning.
Speakers
Tabelle
Program
More details on the program will be available soon.
Application
Applications for the IWR School 2026 are open to doctoral students, postdoctoral researchers, and early-career scientists. Please note that participation is limited. Registration confirmation will be based on the evaluation of your application.
As part of your application, please submit one PDF with the following content:
- CV (one DIN A4 page)
- Letter of Motivation (one DIN A4 page)
Please note that applications that do not meet these requirements will not be considered.
Registration Deadline: June 15, 2026
Registration Fee
Members of Heidelberg University: free of charge
External / Non-Members of Heidelberg University: 400,- EURO
The fee covers the attendance to the school, the conference dinner and the coffee breaks.
After your participation is confirmed we will send you an invoice for the registration fee a couple of weeks before the event starts. The preferred mode of payment will be via bank transfer before the school; alternatively, cash payment will also be available at the venue. Further information will be provided, when the invoice is issued.
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.
