For infection prevention reasons, the institute is currently only accessible to visitors by prior arrangement.


The project-oriented research at the Weierstrass Institute is characterized by combining the mathematical disciplines of analysis, stochastics and numerics. This combination has great potential for solving complex applied problems such as the reliable extraction of information from large datasets or the suitable consideration of uncertainties in describing processes. In this way, the institute aids in solving current societal challenges.



The institute dedicates itself to fundamental mathematical research as well as the development of algorithms and scientific software. During the problem-solving process, mathematical models of physical and technological systems are designed that properly capture observed phenomena, thereby providing access to highly developed mathematical analysis. At WIAS the phases of the solving process are repeated and coordinated until an optimal solution is found.


Mathematical Core Areas

The WIAS is organised in eight Research Groups specializing in different mathematical techniques and methods. Additional temporary teams are created within a Flexible Research Platform as the need arises. The core areas of mathematical research are the analysis and numerics of partial differential equations, and stochastics.


Cooperation and Consulting

Modern applied mathematical methods are a fundamental resource and driving force for technological and economic development around the world. The rapid development of computer technology and mathematically based numerical methods are making it possible to numerically simulate ever more complex engineering, medical, economic and environmental problems.

At the WIAS excellent fundamental research is combined with years of experience in cooperating successfully with partners in the widest possible mix of application fields. The institute is therefore a recognized expert in the solution of complex economic, scientific, and technical problems by means of mathematical modeling and numerical simulation.



MaRDI funded within the framework of the National Research Data Infrastructure NFDI
The consortium for a Mathematical Research Data Infrastructure coordinated by WIAS is looking forward to this national structural project with international connections.


Katharina Hopf selected as Leibniz Mentoring Program participant
WIAS scientist named by selection committee for program to prepare female scientists for leadership positions.


Monday, 23.08.2021 (Schloss Dagstuhl)
Leibniz MMS Summer School (Workshop/Conference)

further events


Forschungsdatenmanager/in im Bibliotheksbereich (m/w/d) (21/09)
Bibliothek, Forschungsdatenmanagement, Information

Coordinator/ Project manager (f/m/d) (21/14)
coordination of the MaRDI consortium with a focus on research data management

PhD student position (f/m/d) (21/15)
robust machine learning and data-driven optimization

PhD student position (f/m/d) (21/16)
Adaptive Tensor Neural Networks for parametric PDEs