Training and education opportunities in Information & Data Science

Artificial intelligence, software development, IT security – Information and Data Science is one of the keys to modern cutting-edge research. The demand for information and data scientists is great in all scientific disciplines. The new methods and tools, however, have not yet been entirely integrated into the curricula of universities and other institutes of higher education. Helmholtz intends to correct this situation with a basic and continuing training initiative.

The initiative arose from the Helmholtz Incubator and is supported by the entire Association, its Centers, and its strong partner universities. The Helmholtz Information and Data Science Schools offer attractive programs for doctoral students and postdocs. The Helmholtz Information and Data Science Academy (HIDA) serves as an Association-wide connecting element. The course offerings bring expert scientists up to speed on the use of the latest information and data technologies.

Find out how Helmholtz further expands its expertise in the field of Information and Data Science.

Helmholtz Information & Data Science Schools

In creating a new post-graduate training network, the Helmholtz Incubator initiated the following activities: Regional Helmholtz Information and Data Science Schools have been founded to promote young scientists in all research areas. At these graduate schools, highly talented graduates can do research at the interface between information technologies and one other scientific area, acquiring and deepening unique insights.

In January 2018, the Helmholtz Einstein International Berlin Research School in Data Science (HEIBRIDS) was funded as a pilot school. Other Helmholtz Information and Data Science Schools chosen in a highly competitive application and selection process, have been implementing their attractive programs in close cooperation with partner universities since September 2018.

Are you interested in current School activities and calls for applications? More information about basic and continuing training measures offered by the individual School can be found on the websites.

Please note the current open calls of the research schools and apply now!



The Einstein Center Digital Future (ECDF) together with the Helmholtz Association have established a joint graduate program in Data Science, which allows the three Berlin universities, Charité and six Helmholtz centers in the greater Berlin area to cooperate in different scientific areas.

Established in 2018, the Helmholtz Einstein International Berlin Research School in Data Science– or HEIBRiDS for short – is an interdisciplinary program that trains young scientists in Data Science and in other scientific disciplines at the same time! It is our goal to educate a generation of researchers, who are exceptional data scientists and who understand the demands and the challenges of disciplines in which data science is a necessity. 

HEIBRiDS brings together six Helmholtz Centers and four partners from ECDF, 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 one supervisor from a Helmholtz partner and one from an ECDF partner. 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 Alfred Wegener Institute for Polar and Marine Research (AWI), the Deutsches Elektronen-Synchrotron (DESY), the German Aerospace Center (DLR), the German Research Centre for Geosciences (GFZ),  the Helmholtz Zentrum Berlin for Materials and Energy (HZB), and the Max-Delbrück Center for Molecular Medicine (MDC).   ECDF partners in the program are Freie Universität Berlin (FU)Humboldt-Universität Berlin (HU), and Technische Universität Berlin (TU) as well as Charité-Universitätsmedizin Berlin

More information:

Are you interested in bringing artificial intelligence and data science to the forefront of health research? Three top-level institutions - the Karlsruhe Institute of Technology, the German Cancer Research Center and Heidelberg University - have joined forces to tackle this exciting area by providing a unique doctoral program. Send your application if you can see the potential in techniques such as deep learning in the health sector and if you are ready to shape the future of our well-being.

The aim of the Helmholtz Information & Data Science School for Health (HIDSS4Health) is to attract, promote and train the best young talents at the interface between data science and health-related applications. HIDSS4Health offers a structured doctoral training program embedded in a highly interdisciplinary research environment, bringing together experts from the data and life sciences. The scientific curriculum is complemented by training measures that provide doctoral researchers with the key qualifications expected from future leaders in science and industry.

Weitere Informationen:

The Munich School for Data Science (MUDS) will train 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 will strengthen 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.

The metropolitan region of Munich is ideally suited for this school, since the inclusion of both universities (TUM, LMU) and all three regional Helmholtz centers (HMGU, IPP, DLR) creates an internationally visible and highly attractive consortium at a prime location for computational sciences in Germany.

Further Information:

The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research.

The doctoral students of the structured doctoral program are trained in all essential elements of information and data sciences as well as in communication and additional key qualifications. As part of their doctoral theses, students advance the development of data science methodologies and harness the power of state-of-the-art data science technologies to solve challenging scientific problems in the domains of life and medical sciences, earth sciences and energy systems/materials science. The educational part of the program is strengthened by individually combined training measures at the Jülich Supercomputing Center (JSC).

Besides the Forschungszentrum Jülich other institutions are involved in the graduate school: RWTH Aachen University, Max-Planck-Institut für Eisenforschung, German Aerospace Center, and the University of Cologne.

More information:

Besides the Forschungszentrum Jülich, other institutions are ivolved in the graduate school: RWTH Aachen University, Max-Planck-Institut für Eisenforschung, German Aerospace Center (DLR), and the University of Cologne.


DASHH is a newly established Helmholtz graduate school, involving several partners:

In DASHH we harness data, computer and applied mathematical science to advance our understanding of nature. We aim to educate the future generation of data- and information- scientists that will tackle tomorrow’s scientific challenges that come along with large-scale experiments.


The Helmholtz School for Marine Data Science (MarDATA) is a joint activity by the marine institutes GEOMAR Helmholtz Centre for Ocean Research Kiel and the Alfred-Wegener-Institute (AWI) Helmholtz Centre for Polar and Marine Research, Bremerhaven, together with their university partners Kiel University, Universität Bremen and Jacobs University in Bremen. MarDATA is funded by the Helmholtz Association.

The governance for MarDATA consists of a council of principle investigators (guiding the overall direction and selection of doctoral topics), a steering board (overseeing the scientific, operational and administrative running of the school), and an advisory board (providing an external, objective guidance of the educational concepts).

MarDATA is coordinated at GEOMAR Kiel (Coordinator: Dr. Enno Prigge).

The current speaker is Prof. Dr. Arne Biastoch.

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