Max-Delbrück Center (MDC)/ Einstein Center for Digital Future (ECDF) - data science
HEIBRiDS is a joint graduate program in Data Science of the Helmholtz Association and the universities associated with the Einstein Center for Digital Future (ECDF), namely Humoldt Universität, Charité Universitätsmedizin, Freie Universität, and Technische Universität Berlin. Established in 2018, HEIBRiDS is an interdisciplinary program that trains young scientists in Data Science applications within a broad range of natural science domains, spanning from Earth & Environment, Astronomy, Space & Planetary Research to Geosciences, Materials & Energy and Molecular Medicine. It is our goal to educate a new generation of researchers, who are skilled data scientists that understand the demands and the challenges of the disciplines in which data science has become indispensable.
Interdisciplinary Data Science Research in Berlin – 10 fully-funded PhD fellowships
Helmholtz Einstein International Berlin Research School in Data Science
The Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) invites applications for PhD fellowships in a collaborative research environment across disciplinary borders. HEIBRiDS projects combine Data Science with applications in Molecular Medicine, Materials & Energy, Earth & Environment, Geosciences and Space & Planetary Research and topics belong to one or more of the following areas:
Machine Learning & Deep Learning
High-throughput Data Analytics
Research will be conducted at one of the partner Helmholtz Centers in the Berlin region:
Max Delbrück Center for Molecular Medicine (MDC)
Deutsches Elektronen-Synchrotron (DESY)
Helmholtz-Zentrum Berlin (HZB)
German Research Centre for Geosciences (GFZ)
German Aerospace Center (DLR)
or the participating Einstein Center Digital Future (ECDF) partner universities:
Technische Universität Berlin (TU)
Charité - Universitätsmedizin Berlin
Freie Universität Berlin (FU)
Humboldt-Universität zu Berlin (HU)
If you enjoy working in an interdisciplinary environment, producing cutting-edge research, come and join our international community in Berlin, Germany!
What we offer:
Cutting-edge research in data science under close supervision of a team of two mentors
Three-year fully-funded fellowships (E13 TVöD or TV-L), with a possibility of one-year contract extension
Integrated training curriculum of scientific and professional skills courses taught in English
Financial support for conferences and collaborations
How to apply:
To apply, a master's degree in quantitative sciences (Computer Science, Physics, Statistics or Mathematics) or related applied field (Bio- or Geoinformatics etc.), awarded by July 2020, is required.
Apply by February 7, 2020, via the online HEIBRiDS application portal. Please submit your CV, academic record, contacts of two referees, and motivation letter referring to one or two of the available doctoral projects. Detailed description of the doctoral projects will be available upon registration to the application portal.
Successful candidates will start their PhD between July and October 2020.
We adhere to principles of responsible research, good scientific practice, openness and transparency, and are committed to setting a good example as a scientific environment where scientists can flourish and grow, independently of their national or ethnic background, functional variation, sex/gender identity/alignment/orientation, family configuration, or other such feature of their persons or contexts.
Severely disabled persons will be given preferential treatment in the case of equal qualification.