8 fully-funded PhD fellowships

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 Research and topics belong to one or more of the following areas:

  • Machine Learning & Deep Learning
  • Data Management
  • High-throughput Data Analytics
  • Modelling (incl. Mathematical & Statistical Modelling)
  • Imaging


Research will be conducted at one of the partner Helmholtz Centers in the Berlin region:

  • Alfred-Wegener-Institute (AWI)
  • Deutsches Elektronen-Synchrotron (DESY)
  • German Research Centre for Geosciences (GFZ)
  • Helmholtz Zentrum Berlin (HZB)
  • Max Delbrück Center for Molecular Medicine (MDC)


or at one of the participating Einstein Center Digital Future (ECDF) partner universities:

  • Charité - Universitätsmedizin Berlin
  • Freie Universität Berlin (FU)
  • Humboldt-Universität zu Berlin (HU)
  • Technische Universität Berlin (TU)

We offer

  • Cutting-edge research in data science under tandem supervision
  • Four-year fully-funded fellowships (E13 TVöD or TV-L)
  • Integrated training curriculum of scientific and professional skills courses taught in English
  • Financial support for conferences and networking


To apply, a master's degree in quantitative sciences (Computer Science, Physics, Statistics or Mathematics) or related applied field (Bio- or Geoinformatics etc.), to be awarded by July 2022, is required.

Detailed information about the Recruitment Process can be found here. Eligibility for application can be checked here.


Apply by February 14, 2022, via the online HEIBRiDS application portal. A step-by-step guide for the online application can be found here. Detailed description of the available doctoral projects are visible to the applicant upon registration to the application portal.


Successful candidates will start their PhD between June and October 2022.