Heidelberg Graduate School HGS MathComp

Academic Profile

The generically interdisciplinary approach of scientific computing is generally considered to be a third pillar of science, complementary to experiment and theory. There is an urgent demand for your scientists who are well-trainend in these methods and their applications. HGS MathComp intends to meet this demand. It is the particular ambition of the HGS MathComp to promote the use of computational methods in yet largely unexplored areas.

The HGS is located at the very core of interdisciplinary research and teaching in Scientific Computing in Heidelberg. It is run by   research groups of the   IWR, which comprise students, lecturers and research projects from different faculties (s. figure). Further support comes from collaborations with non-university institutions such as

  • the German Cancer Research Center (DKFZ)
  • the European Molecular Biology Laboratory (EMBL)
  • Heidelberg Institute for Theoretical Studies (HITS)
  • the Center for Modelling and Simulation in the Biosciences (BIOMS)
  • etc

This unique combination of expertise from a variety of different disciplines provides the Graduate School with a particular potential for interdisciplinary education and research.

HGS MathComps philosophy:

Embedding of the HGS in its environment
Embedding of the HGS in its environment

Embedded in Excellence

Scientific Computing with its core components mathematical modeling, simulation, and optimization, has developed into a key technology for understanding and mastering challenges in science and engineering. Its approach is generally considered as the third pillar of science, next to theory and experiment.

It has  become a standard in physics, chemistry, the life science and engineering and is currently entering economics, social sciences and the humanities. Therefore, Heidelberg University as a comprehensive university offers young researchers in the field of scientific computing an enormous potential.

It is the particular ambition of the HGS to promote the use of computer-based methods in yet largely unexplored areas.