• RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

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  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more

The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

Read more


Jobs

 

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Postdoc position in the Transfer Group

full-time, 40 hours per week

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News

 

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Public focus on focused ultrasound

The recent edition of „Heureka“, a science magazine of Austrian newspaper „Falter“, is featuring our colleague Simon Hackl. These…

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Events

 

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May
21
15:30

Group Seminar: Inverse Problems and Mathematical Imaging

Speaker: Manuel Cañizares
Type: Group Seminar
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May
23
15:30

RICAM Colloquium - Philipp Petersen, Numerical Analysis for Deep Learning and Deep Learning for Numerical Analysis

Speaker: Philipp Petersen
Type: RICAM Colloquium
Location: SP2 416-2
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Jun
13
Jun
14

Workshop on the Occasion of Harald Niederreiter's 80th Birthday

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Recently Published

  • Guth, Philipp A.; Kaarnioja, Vesa (2024) Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond. SIAM J. Numer. Anal., Bd. 62 (2), S. 872-892.
    DOIRISENWBIB
  • Rannetbauer, Wolfgang; Hambrock, Carina; Hubmer, Simon; Ramlau, Ronny (2024) Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques. Procedia Computer Science, Bd. 232, S. 1377-1387.
    DOIRISENWBIB
  • Dewar, Sean; Grasegger, Georg; Kastis, Eleftherios; Nixon, Anthony; Servatius, Brigitte (online: 2024) Rigidity of nearly planar classes of graphs. Bericht-Nr. arXiv:2402.17499;.
    WebsiteDownloadRISENWBIB
  • Gangl, Peter; Gobrial, Mario; Steinbach, Olaf (2024) A Parallel Space-Time Finite Element Method for the Simulation of an Electric Motor. In: Dostál, Zdeněk; Kozubek, Tomáš; Klawonn, Axel; Langer, Ulrich; Pavarino, Luca F. et al. [..] (Hrsg.), Domain Decomposition Methods in Science and Engineering XXVII; Prague: Springer.
    WebsiteRISENWBIB