About the Munich School for Data Science (MUDS)
The Munich School for Data Science (MUDS) trains the next generation of data scientists at the interface of data science and four different application domain sciences: biomedicine, plasma physics, earth observation, and robotics. This graduate school strengthens the domain-driven research within the Helmholtz Association, especially by teaching methodological data science skills in an interdisciplinary and application-oriented fashion. Our main path to achieving this is to offer joint projects, each designed by two partners, a domain-specific application partner and a methodological partner, both supervising the PhD student and therefore ensuring methodological as well as application specific education.
At the metropolitan region of Munich, the universities TUM and LMU, and three regional Helmholtz centers (HMGU, IPP, DLR) create an internationally visible and highly attractive consortium at a prime location for computational sciences in Germany. Additionally, MUDS is cooperating with Roche Penzberg to promote application-oriented PhD projects in biomedicine.
PhD candidates are supervised by two principal investigators (PIs) of the following partner organisations (click here to see participating principal investigators):
- Helmholtz Zentrum München, German Research Center for Environmental Health (HMGU)
- Max-Planck-Institute for Plasma Physics (IPP)
- German Aerospace Center (DLR)
- Ludwig-Maximilians-Universität München (LMU)
- Technical University of Munich (TUM)
Our partners at
provide support for computing infrastructure, storage and server capacity and also training opportunities (specific courses).