Looking into the depths of the universe or predicting earthquakes – at the Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) the study of data science has a broad horizon.
The Berlin Research School in Data Science
A unique research environment characterizes the Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS): Here, research on the core methods, algorithms and processes of digitization is enabled from different perspectives and knowledge is transported between different disciplines.
HEIBRiDS brings together six Helmholtz centers and four university partners from the Einstein Center Digital Future (ECDF), which focuses on core digitization technologies, from digital health to digital industry and the digital humanities. The participating Helmholtz centers have first-class expertise in the fields of molecular medicine, astrophysics, polar and marine research, aerospace, materials science and geosciences.
HEIBRiDS enables us to look at the even bigger picture and truly think outside the box. That’s why I try to look at my topic from a data sciences perspective at every stage, too, and use methods that maybe haven’t been used by anyone else before.
is a doctoral student at HEIBRiDS. He analyzes data derived from the sediments of Arctic lakes to make climate predictions. Read more about his project
Reports on HEIBRiDS
Read more about the wide range of research at HEIBRiDS and its doctoral researchers.
Demand is high for young scientists who are well versed in the data sciences as well as in another discipline. At the Helmholtz graduate school HEIBRiDS in the Berlin-Brandenburg region, eleven prestigious institutions have teamed up to train young scientists at this intersection. The range of subjects they cover spans everything from genetic research to astronomy.
Digitalization is having a rapid impact in the field of medicine, with data sciences and AI offering ever-increasing benefits for the development of new vaccines and drugs. Pfizer manager Peter Albiez discusses how graduate schools like HEIBRiDS are helping meet the enormous demand for specialists in the data sciences.
To spot fires and predict droughts, satellites need to communicate efficiently with Earth – and data science algorithms can help. Olga Kondrateva, doctoral researcher at the Helmholtz Einstein International Berlin School in Data Science (HEIBRiDS), is programming the satellites to pick and choose what data is worth transmitting.
Gregor Pfalz has the air of a young researcher who is burning to get to the bottom of things. Which fits perfectly, because his work as a doctoral candidate at the HEIBRiDS Data Science School in Berlin involves analyzing data from sediment collected from Arctic lakes, with the aim of making predictions about the climate of the future. And how does this work? It takes a lot of patience and a merging of two disciplines - geology and computer science.
In an interdisciplinary PhD program, young scientists are trained in data science applications in a broad range of scientific fields.
The goal of HEIBRiDS is to train a new generation of data scientists who understand the requirements and challenges of those disciplines in which data science has become indispensable.
Participants in the HEIBRiDS program are pursuing PhDs in very diverse research areas, ranging from Earth & Environment, Astronomy, Space & Planetary Research to Geosciences, Materials & Energy to Molecular Medicine.
"I found data science exciting and wanted to learn something new. Computer science, data science and satellites are a very nice combination."
Olga Kondrateva, PhD researcher at HEIBRiDS
- Supervision: tandem supervision by a university and a Helmholtz partner; biannual meetings with both supervisors; annual meeting with the interdisciplinary Thesis Advisory Committee
- Courses for the scientific and transferable skills training: Individually designed curriculum according to the respective research profile. Access for all HEIBRiDS doctoral candidates to courses from an extensive range of courses offered by the Berlin University Alliance and the Helmholtz partners, as well as courses specially organized for the doctoral candidates in the program
- Mandatory participation in the PhD Seminars and the Data Science Lectures, held twice a month
- HEIBRiDS Retreat: Presentation of one's own research project and feedback from the program PIs at the annual HEIBRiDS Retreat
- Participation in (international) conferences
Funding and Duration of the Program
The program will run for four years and offers full funding. The remuneration during the term corresponds to the tariff level E13 of the TVöD or the TV-L (depending on the institution where the employment takes place).
Application and Further Information
A total of 25 doctoral positions are available, all of which have already been filled. The HEIBRiDS location is Berlin, but depending on the disciplinary connections, there are different locations for doctoral students in the Berlin area. Program language is English.
Following Institutions are Involved in HEIBRiDS
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)
Deutsches Elektronen-Synchrotron (DESY)
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ)
Helmholtz-Zentrum Berlin für Materialien und Energie (HZB)
Max-Delbrück-Centrum für Molekulare Medizin (MDC)
Einstein Center Digital Future with
Technischer Universität Berlin
Freier Universität Berlin
Humboldt-Universität zu Berlin