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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

Vorschaubild Youtube Tijana

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Math News

Participation in Digi:Werk10

The Mathematical Institute for Machine Learning and Data Science (MIDS) at the Catholic University of Eichstätt-Ingolstadt was also represented at DigiWerk10, a networking event organized by KUS in Reichertshausen (Pfaffenhofen district). Faculty and students presented current work in the fields of data science, AI, and scientific machine learning. Among those in attendance were Dr. Felix Bartel, Dr. Jörg Steinwagner, and Elisabeth Schönau and Andrei Dolmatov, students in Prof. Tijana Janjić’s department.

The event also highlighted the practical approach of MIDS and the Catholic University in collaboration with regional partners. In collaboration with the company Aixelo, it became clear how partnership between the university and industry is already being put into practice during students’ studies. For example, Minh Tran, a MIDS student, completed an internship at Aixelo and, together with company owner Christoph Kreisbeck, presented the results of this collaboration. The exchange illustrated how scientific methods from AI and data science can be transferred to concrete industrial applications.

Through initiatives such as DigiWerk10, MIDS and KU are actively engaged in the Region10 and are strengthening the network between research, students, companies, and societal stakeholders.

Mathematical Institute for Machine Learning and Data Science

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