Founded in 1386, Heidelberg University, a state university of Baden Württemberg, is Germany’s oldest university. It has a long lasting tradition as a research university of international standing.
Firmly rooted in its history, the University is committed to expanding and disseminating knowledge about all aspects of humanity and nature through research and education. The disciplines taught at Heidelberg University encompass the humanities, the social sciences, law, natural sciences, and the life sciences, including medicine. Heidelberg University connects the knowledge and expertise of its members across generations. It is dedicated to systematically advancing the careers of young scholars and scientists, offers established academics ample opportunity for independent research, and assures the continued presence of outstanding emeriti by conferring on them the rank of senior professors.
This alliance of knowledge provides an excellent foundation for the identification and dedicated pursuit of new research questions. The intricate connection between research and teaching provides for an education that is academic, practical, and continuous. Heidelberg University has extended cooperations with other Universities world wide as well as with high profile non-university research institutions.
Fit for big data research
The Interdisciplinary Center for Scientific Computing (IWR) is a central research institution of Heidelberg University. As such it is directly rooted under the rectorate of the university and independent of faculties and departments. With members from seven different scientific disciplines, IWR is the ideal local partner for the RTG “BIG DATA Research in the Biosciences”.
The core common identifier for all research at IWR is mathematical and computational modeling tailored to solve challenging application problems. Bioinformatics and systems biology are deeply rooted in the research history of IWR and the new research training group extends this trend into data analytics and the treatment of spatio-temporal information in combination with modeling approaches.