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 Astronomy and topics belonging 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)
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 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
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.
Who we are looking for:
- You are an enthusiastic student with a strong interest in data sciences
- Your have a MSc degree in quantitative sciences (Computer Science, Physics, Statistics or Mathematics) or related applied field (Bio- or Geo-informatics etc.)
- You hold or expect to obtain a MSc degree not later than October 2022
Apply by February 14, 2022, via the online HEIBRiDS application portal. Please submit your CV, academic records, contact information of two referees, and motivation letter referring to one or two of the available doctoral projects. Detailed description of the available doctoral projects can be found in the application portal upon registration.
Successful candidates will start their PhD between June and October 2022.
