Welcome to the page of the Professorship for Data Assimilation

In order to be able to predict severe weather events or the melting of ice in the Arctic, information in the form of heterogeneous data must be linked with numerical models of dynamic systems. This is done through data assimilation, which makes it possible to better investigate processes and predict their further development. In the field of data assimilation, the professorship is concerned with the further development of data science algorithms by incorporating physical conservation laws, and solving correspondingly large optimisation problems in the environmental sciences. Quantifying the uncertainties of predictions, numerical models and observations also plays a central role here.

About us

Prof. Janjic introduces herself and the chair

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The Team

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Math News

05-22-2023

Get to know Data Science at KU

On May 05, the Long Night of Science took place in Ingolstadt and on May 06, KU welcomed all interested people to the Open Day. Also MIDS was involved with some actions.

At the beginning of May, there was a lot going on for people interested in science and those who wanted to find out more about studying. KU offered a diverse program in Eichstätt and Ingolstadt and also MIDS informed about its research topics and the study program Data Science.

Prof. Nadja Ray, Prof. Thomas Setzer and Dr. Raphael Schulz had, in addition to mathematical puzzles and general information about the new bachelor's program, interesting presentations, for example on "How do Amazon and Netflix know what we want?" and "The page rank algorithm: What's behind the Google search engine?". The visitors got an insight into what is behind the big term "machine learning" and were also able to ask their questions about it.

For students interested in studying mathematics at KU, not only the direct exchange with the professors and the numerous information material was helpful. The Data Science student council was also available for personal feedback.

MIDS seminar

Mathematical Institute for Machine Learning and Data Science

The Heisenberg professorship is part of the Mathematical Institute for Machine Learning and Data Science, MIDS.
Learn more about MIDS here.