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

12-19-2023

Data Science Christmas Party

Once again this year, the professors of MIDS and the consulting firm d-fine have invited to a Christmas mulled wine evening. This year, the event took place for the first time in the beautiful rooms of the Georgianum. Around 40 Data Science students from the first and third semesters used the cozy evening with mulled wine, punch and gingerbread to get together, have interesting conversations with d-fine and exchange ideas with the MIDS staff. Mathematical topics were also discussed without further ado on a PostIt.

We really enjoyed the evening and would like to take this opportunity to wish all Data Science students a Merry Christmas and a Happy New Year. Let's start together again in 2024.