HEIBRiDS focuses on data science breakthroughs in a broad range of scientific domains, from molecular medicine, astronomy and geo-sciences to transportation and energy. The HEIBRiDS School for Data Science provides an internationally highly recognized and vivid research environment within these research areas, combined with high quality supervision by an interdisciplinary team and a rich training program.

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

  • Machine Learning & Deep Learning
  • Data Management
  • High-throughput Data Analytics
  • Mathematical Modelling
  • Imaging

For the 2020 intake HEIBRiDS will offer 10 PhD positions for outstanding students holding a master’s degree in quantitative sciences or related areas. The ideal applicant has experience in one of the 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 also the candidates' specialist knowledge in the proposed research area.

Duration of support: 3 years (E13 TVöD or TV-L) with the option of 1 year extension

For more information and application, kindly visit: https://heibrids.mdc-berlin.de/intern/start_start_for.php




Felix Emeka Anyiam


Research Officer & Data Analyst/Scientist

Centre for Health and Development

University of Port Harcourt (UNIPORT)

Top Floor, Medical Library Building

University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt

River State, Nigeria.

 ORCID ID: http://orcid.org/0000-0003-2774-7406

 Skype ID: @felix.emeka.anyiam

tel: +234 (0) 806 499 5462                                                    

email: chd@uniport.edu.ng


 I don't mind not knowing.  It doesn't scare me.  - Richard Feynman

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of. -Ronald A. Fisher.


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