Project Details
Projekt
GSC 220: Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences
Subject Area
Mathematics
Basic Research in Biology and Medicine
Computer Science
Medicine
Physical Chemistry
Water Research
Basic Research in Biology and Medicine
Computer Science
Medicine
Physical Chemistry
Water Research
Term
from 2007 to 2019
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 39072701
Scientific computing with its core components mathematical modelling, simulation and optimisation has developed into a key technology for understanding and mastering challenges in science and engineering. Stemming from application problems as diverse as the design of fuel cells, the understanding of the dynamics of cancer or the risk analysis for historical monuments, the demand for young scientists who are well-trained in these methods and application fields is rising fast.
The graduate school intends to meet this demand. The aim is to provide a structured interdisciplinary research training programme to promote the development of new and even more powerful methods of scientific computing and to carry this methodology into new scientific territory. The students will receive training based on the guiding principles of scientific excellence, interdisciplinarity and internationality. The ambition is to provide the doctoral students with excellent training that equips them with the manifold qualifications required from future leading scientists.
Topics, which are of fundamental character for the graduate school stem from the key research areas of Scientific Computing. Reaching out from the classical applications in the natural sciences, they also include in a growing fashion topics from the humanities. Such areas could include processes and phenomena in:
(1) environmental physics, e.g., flow through porous media, soil water dynamics, model adaptation in weather prediction,
(2) medical sciences, e.g., control problems in epidemiology, cardiovascular process simulation, biomechanical modelling in orthopedics, biomolecular simulation, e.g., protein folding, drug design, mechanical properties of cells,
(3) systems biology, e.g., signal transduction in the cell, virus cell interactions,
(4) process engineering, e.g., real-time state estimation and model predictive control of chemical plants, optimal design and control of catalytic processes,
(5) the humanities, including archaeology and art history, e.g., the conservation, restoration and reconstruction of historical artifacts.
The graduate school intends to meet this demand. The aim is to provide a structured interdisciplinary research training programme to promote the development of new and even more powerful methods of scientific computing and to carry this methodology into new scientific territory. The students will receive training based on the guiding principles of scientific excellence, interdisciplinarity and internationality. The ambition is to provide the doctoral students with excellent training that equips them with the manifold qualifications required from future leading scientists.
Topics, which are of fundamental character for the graduate school stem from the key research areas of Scientific Computing. Reaching out from the classical applications in the natural sciences, they also include in a growing fashion topics from the humanities. Such areas could include processes and phenomena in:
(1) environmental physics, e.g., flow through porous media, soil water dynamics, model adaptation in weather prediction,
(2) medical sciences, e.g., control problems in epidemiology, cardiovascular process simulation, biomechanical modelling in orthopedics, biomolecular simulation, e.g., protein folding, drug design, mechanical properties of cells,
(3) systems biology, e.g., signal transduction in the cell, virus cell interactions,
(4) process engineering, e.g., real-time state estimation and model predictive control of chemical plants, optimal design and control of catalytic processes,
(5) the humanities, including archaeology and art history, e.g., the conservation, restoration and reconstruction of historical artifacts.
DFG Programme
Graduate Schools
Applicant Institution
Ruprecht-Karls-Universität Heidelberg
Spokesperson
Professor Dr. Peter Bastian
Participating Researchers
Professor Dr. Hans Georg Bock; Professor Dr. Lorenz S. Cederbaum; Professor Dr. Peter Comba; Professor Dr. Rainer Dahlhaus; Professor Dr. Andreas Dreuw; Professor Dr. Roland Eils; Professor Dr. Michael Gertz; Professor Dr. Tilmann Gneiting; Professorin Dr. Eva Gutheil; Professor Dr. Fred A. Hamprecht; Professor Dr. Dieter W. Heermann; Professor Dr. Bernd Jähne; Professorin Dr. Ursula Kummer; Professor Dr. Jörg Langowski (†); Professorin Dr. Heike Leitte; Professorin Dr. Anna Marciniak-Czochra; Professor Dr. Björn Ommer; Professorin Dr. Barbara Paech; Professor Dr. Rolf Rannacher; Professor Dr. Gerhard Reinelt; Professor Dr. Kurt Roth; Professor Dr. Christoph Schnörr; Professor Dr. Ulrich Schwarz; Professorin Dr. Rebecca Wade
