phd in data science in germany

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Details of PhD Fellowships

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
• Data Management
• High-throughput Data Analytics
• Mathematical Modelling
• Imaging

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)
• Alfred-Wegener-Institut (AWI)
• 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)

Benefits under PhD Fellowships

Successful applicants will receive the following benefits under the PhD Fellowships in Data Science Research Germany:

• Cutting-edge research in data science under close supervision of a team of two mentors
• Three years 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

Eligibility

To be eligible for PhD Fellowships in Data Science Research Germany, applicant must:

• Have a master’s degree in Quantitative Sciences (Computer Science, Physics, Statistics or Mathematics) or related applied field (Bio- or Geoinformatics etc.)

Application procedure

To apply for Fully Funded PhD Fellowships in Data Science Research Germany in Interdisciplinary Data Science Research, applicants are required to submit:

• Curriculum Vitae
• Academic record
• Contacts of two referees
• 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. 

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.

Fellowship Apply link (Apply here)