Established in 2018, the Helmholtz Einstein International Berlin Research School in Data Science – HEIBRiDS – is aimed at doctoral students interested to combine disciplinary knowledge with competencies of a data scientist. HEIBRiDS brings together several Helmholtz Centers and ECDF partners, all working at the intersection of databases and data mining, machine learning, network science, statistics and statistical physics, information retrieval, applied mathematics, and analyses of complex networks. In particular, collaborative data science projects between a researcher at a Helmholtz Center and a university partner associated with the ECDF have and will be further developed in a variety of domains. These projects open numerous possibilities for interdisciplinary exchange.
The training program applies the cotutelle training principle involving a supervisor from a Helmholtz partner as well as one of the ECDF partners. Annual meetings with the thesis advisory committee and a combination of a core research program and individual training sessions are the foundation of the training program. Doctoral students will develop advanced programming skills and experience with data management systems complementing the application knowledge in their specific field.
Collaborating Helmholtz Centers include the Max-Delbrück Center for Molecular Medicine (MDC), the Alfred Wegener Institute for Marine and Polar Research (AWI), the Deutsches Elektronen-Synchrotron (DESY), the German Aerospace Center (DLR), the German Research Centre for Geosciences (GFZ), and the Helmholtz Zentrum Berlin for Materials and Energy (HZB). ECDF partners in the program are Faculty of the Technische Universität Berlin (TU), the Charité-Universitätsmedizin Berlin, the Freie Universität Berlin (FU), the Humboldt-Universität Berlin (HU) and the Berlin University of the Arts (UdK) .
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