• Fostering Cutting-Edge Interdisciplinary and Trans-Facultary Research.

  • Crossing Institutional and Disciplinary Boundaries in Science and Education.

  • The Ultimate Goal is to Establish a Network of Excellence both in Science and Education in the 'Computational Sciences'.

Computational Sciences & Simulations

Computer simulations, based on mathematical models, generally provide a simplified picture of the complex reality. These simplified 'virtual realities' allow us to explore and better understand areas, where our present knowledge is smattering. The computational approach enables us to iterative refine both theories as well as experiments. In order to acknowledge the plausibility of [computer] simulations, the underlying [mathematical] models need to be validated. This requires:

  • trustworthy raw data
  • efficient algorithms/software
  • powerful computers/cores/CPUs
  • many simulations/replicates

Scientists active in this highly interesting field of research require, besides a solid disciplinary background, some basic knowledge in software development, parallel- and high performance computing (HPC) and data-visualisation. Our main concern is with recruiting well qualified and motivated students in sufficient numbers for the 'Computational Sciences'.

Selected entries

First-point-of-contact & University switchboard:

Phone +41 (0)61 207 3111

Computational Sciences Education:

Phone +41 (0)61 207 5729

Computational Sciences Research:

Phone +41 (0)61 207 3832