1st Interdisciplinary „Israel-TUM Summer School in the Alps“

How is Machine Learning changing the Life Sciences?

In the life sciences, researchers are increasingly leveraging machine learning in their work to drive groundbreaking discoveries that may help improve the health and wellbeing of people.

The Interdisciplinary "Israel-TUM Summer School in the Alps" is an annual programme comprising themed training together with academic keynotes from academics working in the interdisciplinary area of Machine Learning/Life Sciences and complemented by professional skills training.

The Summer School will be hosted at Spitzingsee from 3 September to 8 September 2017.

  • When: September 3 – 8, 2017
  • Where: Arabella Alpenhotel on Lake Spitzing, 83727 Spitzingsee, Germany
  • Who: 20 PhD candidates (10 from selected Israeli partner institutions; 10 from TUM) + up to 10 lecturers (post graduates and professors from both Israel and TUM)
  • Application Deadline: 30 June 2017

Keynotes and research presentations will stress the importance of interdisciplinary collaboration between life and computer sciences and open discussions provide an international forum for both practitioners seeking new cutting-edge tools for solving their domain problems and theoreticians seeking interesting and real-life applications for their novel algorithms.

Special interest will be paid to novel machine learning technologies, designed to tackle complex medical, biological, chemical or environmental data that take into consideration the specific background knowledge and interactions between the considered problems.

Professionals skills training will complement the programme by conveying transferable competences in the following area: working in international/intercultural teams; networks and networking; creativity and development of collaborative research


  • How: To apply, please send the following documents to international@gs.tum.de by June 30:
    • Fully completed Israel-TUM Summer School application form
    • Short CV – max. 2 pages
    • Motivation letter outlining why you are applying and your interest in the academic theme (including your expectations and goals for the summer school) – max. 1 page
    • Summary of your doctoral research project – max. 2 pages 
  • Requirements: Candidates with a pronounced interest in obtaining new international experiences and equipped with genuine curiosity for the interdisciplinary interaction of Machine Learning and Life Sciences.
  • Costs: Technical University of Munich funds accommodation, venue, meals and domestic transport for all doctoral candidates and lecturers for the duration of the course week. Participating institutions fund the costs of international travel to Munich for visiting candidates and staff.


  • September 3 (evening): Welcome Dinner + Get-together
  • September 4 – 5: Academic Keynotes + Research Presentations
  • September 6 – 7: Professional Skills Training + Excursion
  • September 8 (morning): Final Discussion + Wrap-up session 


  • Doctoral candidates develop skills and networks that are crucial to becoming a global researcher
  • Understand the relation between Machine Learning and Life Sciences
  • Realize the connected challenges
  • Demonstrate the importance of interdisciplinary approaches
  • Scientific exchange and networking
  • Start discussions for possible future German-Israeli collaborations