Transforming the World

through Mathematics

Berlin Mathematics Research Center

MATH+, the Berlin Mathematics Research Center, is a cross-institutional and interdisciplinary Cluster of Excellence. It sets out to explore and further develop new approaches in application-oriented mathematics. Emphasis is placed on mathematical principles for using ever larger amounts of data in life and material sciences, in energy and network research, and in the humanities and social sciences.

 

MATH+ is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy (EXC-2046/1, project ID 390685689) for a first period of seven years since January 2019. It is a joint project of the three major universities in Berlin – Freie Universität Berlin, Humboldt-Universität zu Berlin, and Technische Universität Berlin – as well as the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and the Zuse Institute Berlin (ZIB). MATH+ continues the success stories of the renowned Research Center Matheon and the Excellence-Graduate School Berlin Mathematical School (BMS).

News

BMS: Call for Application to the PhD Program 2024

Berlin Mathematical School (BMS): Call for Applications to the PhD Program 2024

23.09.2024
The Berlin Mathematical School (BMS) is the Graduate School of MATH+. BMS offers a doctoral program in Berlin's rapidly evolving scientific landscape, providing an exciting range of opportunities for both mathematical research and graduate education. We are now accepting applications for admission from talented students who are completing their Bachelor's degree or higher.

Events

PiDay_Math

MATHINSIDE am 07. November 2024

04.09.2024
In der Vortragsreihe MATHINSIDE geben Wissenschaftler*innen des Exzellenzclusters MATH+ spannende Einblicke in ihre Forschungsarbeit und in die Anwendungsgebiete der Mathematik. Das Vortragsprogramm eignet sich hervorragend als Ausflugsziel für Schulklassen und -kurse ab Klassenstufe 10. Am 14.03.2024 gibt es Vorträge von Christof Schütte, Antonia Chmiela und Konstantin Fackeldey.
MATH+ Friday: Martin Burger

12 July – Martin Burger: Particle Methods in Machine Learning and Inverse Problems

08.07.2024
Martin Burger is a Lead Scientist at DESY and full professor at Universität Hamburg. He obtained his PhD in 2000 at JKU Linz, and moved to Hamburg in 2023, following postdoctoral positions in Austria and at UCLA, as well as full professor positions at Universität Münster and FAU Erlangen-Nürnberg. He received various recognitions for his work in applied mathematics and imaging science, such as bei...
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