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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

Hidde Schönberger wins GSNS Master's Thesis Award 2021/2022

Congratulations to Hidde Schönberger for receiving the Graduate School of Natural Sciences Master's Thesis Award! This prize is handed out every year for the best Master's thesis written at the Faculty of Science at Utrecht University.

With his thesis, "Characterization of Lower Semicontinuity and Relaxation of Fractional Integral and Supremal Functionals," Hidde Schönberger closes a gap in the literature regarding the existence theory for a class of variational problems involving fractional derivatives. Besides their mathematical significance, these problems have different applications in materials science and image processing. The scientific contributions of the thesis have lead to a publication in the journal Nonlinear Analysis and are, in the eyes of the jury, "a work any experienced researcher can be proud of, let alone a Master's student."

The thesis project was supervised by Prof. Dr. Carolin Kreisbeck, who is now also his Ph.D. advisor at KU, where he is continuing his research on nonlocality in the calculus of variations at the Chair of Analysis. 

For link to the published article please follow here, the thesis can be found here.
 

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.