Saarbrücken Graduate School of Computer Science

The graduate school, founded in 2008, is based on the international bachelor’s and master’s system which was introduced to Saarbrücken in 2004. In the future it will be the basis for all doctoral studies. "The facilities of the graduate school, with its exceptional teaching standards and its intrepid young scientists, make Saarbrücken even more attractive for international students," comments coordinator Raimund Seidel. The lecturers come from the university, the DFKI, and both Max Planck Institutes and assure the highest level of training for future scientists.

More information can be found at gradschool.cs.uni-saarland.de.

Center for Bioinformatics

Logo CBI

The Center for Bioinformatics is the interdisciplinary joint venture of three schools at Saarland University encompassing the fields of biology, medicine, and mathematics/informatics. The function of the Center is to develop computational methods for analyzing, modeling, and simulating biological processes on the molecular level. Its goal is to provide bioinformatics software tools that support the development of new drugs and new approaches to diagnosis as well as to assist in the effort to optimize therapeutic strategies.

More information can be found at zbi-www.bioinf.uni-sb.de.

The Intel Visual Computing Institute (Intel VCI)

Intel VCI

In May 2009, the Intel Visual Computing Institute (Intel VCI) was formally established. The Intel VCI is a collaborative effort between Intel, Saarland University, MPI-INF, DFKI, and MPI-SWS. It is part of Saarland University and its offices are located at the Saarbrücken campus. Intel VCI is directed by Thorsten Herfet and Philipp Slusallek. The decision by Intel to set up Intel VCI in Saarbrücken, even in advance of a planned counterpart in the US, was significantly influenced by the establishment and the research of this cluster of excellence.

The institute focuses on Visual Computing research, meaning the acquisition, modeling, processing, transmission, rendering and display of visual and associated data. It addresses a highly complex combination of hard challenges: achieving highest performance and scalability, integrating multimodal data, analyzing and handling of massive data volumes, designing of efficient and scalable algorithms, efficient encoding and transmission of time dependent data, and all of this under often hard real-time constraints.

More information can be found at http://www.intel-vci.uni-saarland.de/.