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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

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Math News

New Scientific Director at MIDS

Dr. Jörg Steinwagner is the new Scientific Director at MIDS since May 1, 2026. 
He also supports Professor Janjic’s research group (Chair of Data Assimilation), thereby combining research, teaching, and knowledge transfer. He holds a Ph.D. in meteorology and has many years of experience in the development of data-driven methods, particularly in the fields of satellite-based remote sensing and numerical modeling. His professional career includes work on international research and development projects, including in the areas of Earth observation and weather forecasting.

A key focus of his current work is the design and implementation of knowledge transfer formats on AI and digitalization, as well as the preparation of scientific content tailored to specific audiences for stakeholders from academia, industry, and society. In addition, he develops consulting services and supports the establishment of regional networks, including in cooperation with partners such as AININ and brigk.

Within the context of MIDS, he coordinates key activities such as the Jour Fix, contributes to strategic development, organizes scientific events, and assists with third-party funding applications. In Prof. Janjic’s research group, he is involved in both research and teaching, works on data-driven models and HPC applications, and supports ongoing research projects.

His work helps strengthen the regional AI ecosystem and fosters close collaboration between research and practical application. We are very much looking forward to working with him and warmly welcome him to MIDS.

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.