Introduction

Dear Friends of KoMSO,

It is our pleasure to present the eighth  KoMSO newsletter of the year. This edition includes information on the following topics.

Conferences & events
* SIAM UQ22

News & miscellaneous
* Vacancy for assistant professor for applied mathematics at FAU Erlangen
* New book on Rosenbrock-Wanner-type methods

Success stories & achievements
* BMWi and Siemens Energy fund AI project at University of Wuppertal

Please feel free to share your feedback with us or to contribute ideas for upcoming editions of this newsletter. Previous editions of this newsletter can be found at <https://www.komso.org/index.php?id=71>.

Best wishes from the KoMSO Coordination Office!

Conferences & events

SIAM UQ22

The "SIAM Conference on Uncertainty Quantification (UQ22)" will take place from April 12 to 15, 2022 in Atlanta, Georgia, USA. Submissions are possible until October 11, 2021. More information can be found at <https://www.siam.org/conferences/cm/conference/uq22>.

News & miscellaneous

Vacancy for assistant professor for applied mathematics at FAU Erlangen

The newly established Department of Data Science at FAU Erlangen has a vacancy for an assistant professor for applied mathematics. Applications are possible until September 15, 2021. More information can be found at <https://www.mathjobs.org/jobs/list/17964>.

New book on Rosenbrock-Wanner-type methods

The research group "Applied Mathematics and Numerical Analysis" of the University of Wuppertal, together with colleagues from the Bonn-Rhein-Sieg University of Applied Sciences, has published a book on novel Rosenbrock-Wanner-type methods for the stable and efficient numerical solution of DAE systems. Illustrative applications are presented -- e.g., the simulation of networks for water supply or decentralized hydrogen storage. More information can be found at <https://www.presse.uni-wuppertal.de/de/medieninformationen/2021/07/30/33897-angewandte-mathematik-neues-buch-erschienen/>.

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Success stories & achievements

BMWi and Siemens Energy fund AI project at University of Wuppertal

Led by Hanno Gottschalk, researchers are working on generative neural networks that can be trained to optimize the design of certain parts of a gas turbine. For its project, the research team receives funding from Siemens Energy and the BMWi. More information (in German) can be found at <https://www.presse.uni-wuppertal.de/de/medieninformationen/2021/08/04/33913-kuenstliche-intelligenz-und-design-foerderung-fuer-wuppertaler-mathematikerinnen/>.