Research Area Scientific Computing
Research Area & Centers
The research area Scientific Computing and its three research centers - Computational Engineering, High Performance Computing and Computer Science - introduce themselves.
Infrastructure & Services
A brief description of the available infrastructure for high performance computing and visualization and how to gain access.
Education & Training
Information on the internal doctoral programm Computational Interdisciplinary Modelling as well as on the extension study programme Scientific Computing and other training posibilities.
Research Area Scientific Computing
Univ.-Prof. Dr. Alexander Ostermann (head)
Mag. Eduard Reiter (coordinator)
News
WCCM-ECCOMAS 2026
The 17th World Congress on Computational Mechanics and the 10th European Congress on Computational Methods in Applied Sciences and Engineering WCCM-ECCOMAS 2026 is expected to be one of the largest congresses in the field of computational mechanics and computational methods in applied sciences and engineering. It will take place from 19 to 24 July 2026 in Munich.
You can still submit a proposal to organise a minisymposium on a topic close to your area of expertise until 15 June 2025.
Thesis Awards 2025
Apply for the Thesis Awards 2025 if you have completed an outstanding Master's or PhD thesis related to the field of Scientific Computing by the key date of the defence in 2024 (please also see and distribute the flyer). Application deadline: July 4, 2025
First graduate of the ESP Scientific Computing
The research area Scientific Computing congratulates Mr. Thrainer as the first graduate of the extension study programme Scientific Computing.
Quick Links
Activities & Cooperations
The annual thesis award in recognition of outstanding MSc and PhD theses, projects and cooperations with a connection to scientific computing.
Exchange in SC (ESC)
11. Dec. 2025: Ulrich Rüde (FAU)
6. Nov. 2025: Ivana Stiperski (UIBK)
27. Mar. 2025: Wolfgang Wall (TUM)
18. Nov. 2024: Dieter Kranzlmüller (LMU)
A distinguished series of lectures on topics from the field of scientific computing with social and scientific relevance.