Welcome to HEIBRiDS – a new Data Science Doctoral Program in Berlin
Established in 2018, HEIBRiDS is a doctoral research school of 6 Helmholtz-Centers (AWI, DESY, DLR, GfZ, HZB and MDC) in and around Berlin in cooperation with the Einstein Center for Digital Future involving the Berlin univerisities Charité, FU, HU, TU, and UdK.
The scientific focus of the HEIBRiDS raises the profile of the important and growing research in data science and trains the next generation of researchers in this field. Graduates benefit from exciting, interdisciplinary projects, joint supervision and mentorship from excellent researchers, affiliation to 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.
Data Science with emphasis on
• Imaging
• Machine Learning
• Modelling
• Novel Hardware Concepts
• Sequencing
• Visualization
HEIBRiDS focuses on data science from medicine and geo-sciences to information technology and engineering and provides an internationally highly recognized and vivid research environment within these research areas combined with the supervision by an interdisciplinary team and a rich lecture program.
For the 2018 intake HEIBRiDS will offer 10-15 PhD positions for outstanding students holding a master’s degree in quantitative sciences or related subjects. The ideal applicant has experience in the general research area 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 the candidates specialist knowledge in the proposed research area.
Duration of support: 3 years with the option of 1 year extension.
Application deadline is Mar 3, 2018.
More information at: https://heibrids.mdc-berlin.de/intern/start_start_for.php