Doctoral Programme Computational Interdisciplinary Modelling (DK CIM)

In 2010 the Doctoral Programme Computational Interdisciplinary Modelling (DK CIM) was initiated at the University of Innsbruck within the framework of the Research Area Scientific Computing. We provide substantiated research-guided and well-structured training for excellent Ph.D. students in the interdisciplinary field of computational modelling utilizing high performance computing, within the fields of atmospheric science, chemistry, computer science, material science, engineering science, mathematics and physics.

Background

At the University of Innsbruck scientific computing is one of six research areas, which are approved by the Austrian Federal Ministry of Science, Research and Economy (BMWFW) after thorough evaluation of the research accomplishments in the respective field. Aims of the Research Area Scientific Computing are to use inherent synergies between various research areas and different fields by cooperating withing the university, as well as between different universities and other institutions in Austria and all over the world. Thus fruitful interdisciplinary research ist 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.

DK CIM is closely linked with the international interdisciplinary Marie Skłodowska-Curie COFUND doctoral programme DOCC ("Dynamics of Complex Continua") at the University of Innsbruck, so that PhD students will profit from close interactions with other international PhD fellows in the fields of scientific computing.

Statutes

News

1st DK CIM/DP DOCC summer school 2021

will be held from 26.07.-30.07.2021, UZE Obergurgl

Upcoming Events

  
 

thesisaward2021The Research Area Scientific Computing awards a prize for an excellent master’s thesis and a PhD thesis (finished 2020 at the University of Innsbruck, key date: date of the defensio) in the field of Scientific Computing with a focus on High Performance Computing; submission deadline: 2021-07-30. For detailed information please see "Thesis Award - APPLY NOW!"


eScience2021Please save the date: From September 21 - 23, 2021 the eScience 2021 conference will take place in Innsbruck. The conference brings together leading interdisciplinary research communities, developers and users of eScience applications and enabling IT technologies. For more information please click on the following link: eScience 2021.


Prizes

ThesisAward 2020: Brigitta Goger won the Thesis Award in 2020: "Evaluation of a High-Resolution Numerical Weather Prediction Model in Complex Terrain", Supervisors: Mathias Rotach and Alexander Gohm, ACINN, University of Innsbruck; Oliver Fuhrer, Institute for Atmospheric and Climate Science, ETH Zürich

 

Forum AlpbachForum Alpbach - Euregio-JungforscherInnen-Preis
Matthias Rauter and Daniel Winkler won the first prize for their work on "Predicting Natural Hazards with Neuronal Networks". The results were achieved in the context of the DK CIM research cluster Deep Learning under the supervision of Prof. Haltmeier and Prof. Harders. → Abstract


LFUI Best Student Paper AwardLFUI Best Student Paper Award 2017
Daniel Winkler won this prize for his excellent work "gpuSPHASE - A shared memory caching implementation for 2D SPH using CUDA" in "Computer Physics Communications"


Harremoes AwardPoul Harremoës Award
Daniel Winkler won this prize for the best urban drainage paper by a young author on "Virtual reality in urban water management: Communicating urban flooding with particle based CFD simulations".


LFUI Best Student Paper AwardLFUI Best Student Paper Award 2016
Lukas Moschen was awarded this prize for his paper "Vertical acceleration demands on column lines of steel moment-resisting frames", which was published in the renowned journal "Earthquake Engineering and Structural Dynamics".

Participating Institutions

Department of Mathematics
Institute of Atmospheric and Cryospheric Sciences

Department of Basic Sciences in Engineering Sciences
Institute of Computer Science
Institute of General, Inorganic and Theoretical Chemistry
Department of Infrastructure Engineering
Institute for Ion Physics and Applied Physics
UMIT, the health & life sciences university

Funding

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