HEIBRiDS - Doctoral Program in Data Science

 Established in 2018, HEIBRiDS is a doctoral research school in Data Science.  In cooperation between 6 Helmholtz-Centers (AWI, DESY, DLR, GfZ, HZB and MDC) located in and around Berlin and the Einstein Center for Digital Future (ECDF) involving the Berlin univerisities Charité, FU, HU, TU, and UdK, HEIBRiDS benefits from interdisciplinary projects, joint supervision and mentorship from excellent researchers, affiliation of every doctoral candidate with two centers of teaching and training excellence, extensive research training and professional development program opportunities, and dedicated funding for participation in international conferences and collaborative visits.

 The research focus of HEIBRiDS exploits the primary expertise of the participating members representing different domains and scientific disciplines. The Helmholtz centers have first-class researchers from the domains of medicine, transportation, astronomy, energy, and geoscience, at their disposal. ECDF hosts researchers from the digitalization core technologies, from digital health and digital industry to digital humanities. Such a consortium creates a unique environment, as it allows investigation of core methodologies, algorithms, and processes from different angles, and  knowledge transfer between scientific disciplines.

  The scientific goal of the HEIBRiDS is to conduct research around topic clusters that play a key role in the various core scientific disciplines of the Helmholtz centers and ECDF, with emphasis on:


Machine Learning
Novel Hardware Concepts

 For the 2019 intake HEIBRiDS will offer 6 PhD positions for outstanding students holding a master’s degree in quantitative sciences or related fields. The ideal applicant has, in addition, experience in one of the research domains of HEIBRiDS and enjoys working in an interdisciplinary environment. All students are required to meet the regular admission requirements of the Berlin universities' doctoral programs. As HEIBRiDS aims at interdisciplinary research there is no complete list of master’s degrees eligible for the program and the selection process will not solely consider the grades, but also the candidates specialist knowledge in the proposed research area.
Duration of support: 3 years with the option of 1 year extension

Application deadline:  Feb 8, 2019

The doctoral training  offers a framework program with the following components:

1. Interdisciplinary, data-science PhD project that is designed and supervised by a team of two scientists – one from Helmholtz and one from ECDF –  and reflects research questions with respect to the current state-of-the art

2. Research curriculum to impart the necessary knowledge with domain-specific courses for computer/data scientists and data science courses for domain-scientists

3. Soft-skill training with courses on scientific writing and presenting, self- and project- management, communication in interdisciplinary and international teams, among others

4. Laboratory skills training with tutorials for large experimental devices (microscopes, HPC, …)

5. Tutoring on scientific proposal writing and icareer coaching

 The research curriculum is provided by ECDF;  the enrolled PhD students will, thus, participate in the program of the universities, where the supervisors are affiliated.  Soft-skills courses are offered both by ECDF and Helmholtz centers. In addition, the HEIBRiDS school itself offers a wide range of events, such as round-table lectures, journal clubs, workshops, theme and methods days, etc.

 The governance of the school includes two spokespersons, one from the Helmholtz Association and one from the ECDF, a steering committee with a member from each participating Helmholtz Center/ ECDF university, and an international scientific advisory board with two renowned experts per scientific domain.