For infection prevention reasons, the institute is currently only accessible to visitors in very exceptional cases and by prior arrangement. A large number of scientific events are meanwhile taking place online, to which also interested parties from outside are very welcome. »
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.
Launch of new Einstein Research Unit on quantum computing
WIAS with contributions to “Variational Quantum Computing” involved in new granted Einstein Research Unit “Perspectives of a quantum digital transformation: Near-term quantum computational devices and quantum processors”
Expert panel recommends funding for MaRDI consortium
The consortium for a Mathematical Research Data Infrastructure coordinated by WIAS is looking forward to this national structural project with international connections.
Research Assistant Position (f/m/d) (20/23)
Nonsmooth Variational Problems and Operator Equations
Forschungsdatenmanager/in im Bibliotheksbereich (m/w/d) (21/09)
Bibliothek, Forschungsdatenmanagement, Information
Research Assistant (f/m/d) (21/12)
Thermodynamic Modeling and Analysis of Phase Transitions, Mathematical modeling of gelation on biopolymer solutions
Research Training Group Differential Equation- and Data-driven Models in Life Sciences and Fluid Dynamics
(in cooperation with Technische Universität Berlin)