MuDS (Munich School for Data Science @ Helmholtz, TUM and LMU)
While the volume, complexity, and real-time requirements of scientific data across all areas of research - in particular in the data-rich Helmholtz environments - are strongly increasing, experts in data science are rare or do not even exist. We therefore face an urgent need for training the next generation of scientists at the interface of data science and various domain sciences.
To address this, we propose to set up the Munich School for Data Science @ Helmholtz, TUM & LMU (MuDS) that integrates the three Helmholtz centers in the Munich area (HMGU, IPP, DLR) with the Technical University Munich (TUM) and Ludwig-Maximilians-Universität München (LMU) and two major computing & data facilities, the Leibniz Supercomputing Centre (LRZ) and the Max Planck Computing & Data Facility (MPCDF). With MuDS we will strengthen domain-driven research within the Helmholtz Association by training PhD students with data science skills to work in an interdisciplinary 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. We will offer a tailored course program with a detailed onboarding phase and advanced-level training to follow this up.
The training program will be integrated into the existing courses of the universities as well as our associated partners (LRZ and MPCDF) to guarantee up-to-date and high-level education. MuDS will be part of the Munich Alliance for Computation and Data, carried by the MuDS partners and the Max Planck Society. The metropolitan region of Munich is ideally suited for this school, since the inclusion of both universities and all regional Helmholtz centers creates an internationally visible and highly attractive consortium at a prime location for computational sciences in Germany.