How to apply

If you are interested in participating in the summer school, please send your application to dshl(at)

Deadline: Saturday, May 14, 2022

Expected participants

The summer school is directed to PhD, Master and advanced Bachelor students in engineering and physical sciences, who are interested in applying machine learning in their field. We expect fluent English and an academic background in engineering or physical sciences.

Application documents

Send us your CV and a motivation letter. Tell us why you want to participate and which related expertise and experience you have. Please mention any programming skills or other experiences with machine learning and related approaches.

Notification of acceptance

The number of participants is limited. You will be notified about acceptance to the summer school by May 31th at the latest.