Research Area Scientific Computing

The Research Area Scientific Computing integrates all scientific activity at the University of Innsbruck in information technology (IT) and computer-aided research. High-end computing facilities allow the simulation and optimization of complex processes, as well as the organization, analysis and presentation of big data to solve increasingly complex compute- and data-intensive problems in many different fields such as science, engineering and life-science. The Research Area SC encompasses three research centers and individual members:

Aims of the Research Area SC are to use the inherent synergies between various research areas and different fields by cooperating within the university, as well as between different universities and other institutions in Austria and all over the world. Thus fruitful interdisciplinary research is fostered by exchanging knowledge and information, by sharing ressources, by coordinating funding for keeping and developing the necessary infrastructure, as well as by enhancing science oriented teaching.

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The main strategies of the University of Innsbruck that form the basis for performance agreements between the University and the Ministry of Science and Research, as well as between the faculties and the rectorate are laid down in development plans. The main goals of the development plan 2005-2009 were enhancing research and research guided teaching, opening the university, as well as optimising organisational structures and controlling in order to become a research university. To achieve these goals the focus was laid on research guided teaching, promoting junior scientists, enhancing first-class PhD-programmes and high quality professorships.

Furthermore, after a phase of increasing specialisation in various subjects, the University of Innsbruck returned to an interdisciplinary approach. Interdisciplinary exploration and comprehension is supported by cross-disciplinary research areas, research platforms and research centres. Benefits arise from synergy effects as well as from finding a common language and developing novel, team-oriented modes of operation. Research areas and platforms consist of several highly qualified research centres and groups encompassing individuals from various fields contributing to  impressive scientific achievements of the University of Innsbruck on an international level.


If you would like to be included in the mailing list of the Research Area Scientific Computing to stay informed about upcoming events and recent developments, please write an e-mail to

fz_hpc_logo_119xxMay 2nd May 4th, UIBK: Training Course on Fundamentals of Deep Learning & CUDA. Manuel Ujhaldón, Nvidia DLI Instructor and full professor at the University of Malaga will teach the basics of the CUDA programming model, how to make use of multiple GPUs and how to use deep learning on Nvidia GPUs. Please bring your own laptop, all other resources needed will be available via Amazon Web Services. Number of participants limited to 30.  

ASHPC22cropMay 31st – June 2nd, 2022: The Austrian-Slovenian HPC Meeting 2022 - ASHPC22 will take place at the Seeblickhotel Grundlsee (AT) and online, preceded by the co-located EuroHPC Access and Hands-On  workshop. ASHPC22 will continue the tradition of the annual Austrian HPC Meetings (2015 – 2020) and the first Austrian-Slovenian HPC Meeting (2021): Bringing together scientists and technicians with a background and interest in supercomputing. Registration & call for abstracts OPEN, further information at



Univ.-Prof. Dr. Alexander Ostermann

Mag. Eduard Reiter

Technikerstraße 13 - room 724
6020 Innsbruck / Austria

T +43 512 507-39851

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