GSC 233:  Graduate School of Computational Engineering

• Subject Area: Mechanics and Constructive Mechanical Engineering ; Mathematics ; Fluid Mechanics, Technical Thermodynamics and Thermal Energy Engineering
• Term: from 2007 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 39112826

Engineering applications are becoming more and more complex. Consequently, the theory required to analyse corresponding systems is becoming increasingly complicated. Experimental investigations are often too complex, too risky or too costly. Computational Engineering (CE), including computer based modelling, analysis, simulation and optimisation, is a cost effective and efficient alternative to investigate engineering applications and to engineer new technical solutions. It enables the creation of scalable digital models to support research, development, design, construction, evaluation, production and operation of engineering applications. It allows optimal strategies to be found, which address key issues in future technical developments for the economy and society, in the areas such as energy, health, safety and mobility.
The Technische Universität (TU) Darmstadt intends to further strengthen its role in CE through the Graduate School of Computational Engineering. It will enable PhD students to develop their scientific skills in a focused way, and to cooperate under optimal conditions in a highly stimulating interdisciplinary environment based on the interaction of computer science, mathematics and engineering sciences. Moreover, the education at the graduate school will help the student to develop proficient soft skills. Early integration into research activities endorses the training as future experts in the field of computational engineering.
Partnerships with well established research organisations as well as cooperation with industry will increase the impact of the graduate school. The graduate school will focus on the following key research areas, building on the well established interdepartmental expertise at TU Darmstadt: modelling and simulation of coupled multi-physics problems, simulation based optimisation and hierarchical multi-scale modelling and simulation. The research efforts in the above fields will be accompanied by corresponding developments of methods of visualisation, simulated reality, high-performance computing, validation, software engineering and lifecycle research.
The graduate school is part of a broad CE initiative that was already initiated at TU Darmstadt in the year 2000. Hence, the school finds an excellent environment consisting of existing BSc/MSc Computational Engineering Study Programmes, the Computational Engineering Research Center and a variety of Research Training Groups, Research Units and Collaborative Research Centres.

• DFG Programme: Graduate Schools
• Applicant Institution: Technische Universität Darmstadt
• Participating Institution: Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit (LBF); Fraunhofer-Institut für Graphische Datenverarbeitung (IGD)
• Spokesperson: Professor Dr. Michael Schäfer
• Participating Researchers: Professor Dr.-Ing. Reiner Anderl; Professor Dr. Christian Bischof; Professor Dr. Dieter Bothe; Professor Dr.-Ing. Dieter W. Fellner; Professor Dr.-Ing. Michael Goesele; Professor Dr.-Ing. Holger Hanselka; Professor Dr.-Ing. Johannes Janicka; Professorin Dr.-Ing. Anja Klein; Professor Dr. Jens Lang; Professor Dr.-Ing. Martin Oberlack; Professor Dr.-Ing. Jürgen Rödel; Professor Dr. Amsini Sadiki; Professor Dr. Andreas Schürr; Professor Dr.-Ing. Ralf Steinmetz; Professor Dr. Oskar von Stryk; Professor Dr.-Ing. Cameron Tropea; Professor Dr. Stefan Ulbrich; Professor Dr.-Ing. Thomas Weiland; Professorin Dr.-Ing. Bai-Xiang Xu; Professor Dr.-Ing. Abdelhak Zoubir