Under the roof of the Helmholtz Information & Data Science Academy (HIDA), seven research schools train young scientists at the interface between information & data science and a scientific domain.
Interdisciplinary Research
Evaluating huge amounts of data requires intelligent algorithms and methodologically skilled experts. That is why the Helmholtz Association trains young scientists at the interface between Information & Data Science and a scientific domain at seven research schools. At these schools, doctoral researchers deepen their expertise in data science methods and learn to combine knowledge from the six Helmholtz research fields - Energy, Earth and Environment, Health, Aeronautics, Space and Transport, Matter and Information - with data science.
Innovative Y-Supervision
The Schools are distinguished by an innovative supervision model: At all Helmholtz Information & Data Science Schools, doctoral candidates are supervised by two experts - one from the field of computer science or mathematics, and one from a scientific application area. This ensures that doctoral students receive the best possible training in both fields - in information & data science and in their specific research domain.
Current calls for applications of the Schools
The seven Helmholtz Information & Data Science Schools regularly advertise new positions for doctoral researchers. Apply now!
Networks between First-Class Research Institutions
Tandem supervision not only has advantages for the PhD researchers: it also brings the scientists of the Helmholtz Centres into contact with the researchers of the partner universities and ensures an extremely valuable exchange of experience and methods between them. By establishing numerous smart point-to-point connections throughout Germany, the Helmholtz Information & Data Science Schools thus span comprehensive networks between first-class research institutions and researchers and develop research-related competence nodes with international appeal.
