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.
Thematic Einstein Semester on Energy-based Mathematical Methods for Reactive Multiphase Flows started
- organized within the framework of the Berlin Mathematics Research Center MATH+ and supported by the Einstein Foundation Berlin.
ECMI Webinar Math for Industry 4.0 - Models, Methods and Big Data will take place on December 2-3, 2020
as a joint activity of the Special Interest Groups Mathematics for Big Data and Math for the Digital Factory of the European Consortium for Mathematics in Industry (ECMI).
Tuesday, 01.12.2020, 15.00 (Online Event)
Seminar Modern Methods in Applied Stochastics and Nonparametric Statistics
R. Kravchenko, Humboldt-Universität zu Berlin:
Distributed optimization with quantization for computing Wasserstein barycenters
PhD Student (f/m/d) (20/17)
Theoretical Physics, Maxwell equations, modeling of optical systems, nonlinear dynamics
Head of a research group (m/f/d) (20/21)
Data-driven Control and Optimization
Research Assistant Position (f/m/d) (20/23)
Nonsmooth Variational Problems and Operator Equations
Employee in computer engineering (f/m/d) (20/25)
data management systems, JAVA
Research Assistant Position (m/f/d) (20/26)
Stochastic Algorithms and Nonparametric Statistics, Image processing, statistical inverse problems
Research Assistant Position (f/m/d) (20/27)
Nonsmooth Variational Problems and Operator Equations, Equilibria for Energy Markets with Transport