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.
WIAS successful in Leibniz competition
Leibniz Association funds cooperation project UVSimTech to develop new and compact UV-C lasers for medicine and biotechnology.
Friday, 10.12.2021, 14.00 (Online Event)
MATH+ Thematic Einstein Semester on “Mathematics of Imaging in Real-World Challenges”
Prof. Dr. B. Schmitzer, U Göttingen; Prof. Dr. G. Steidl, TU Berlin:
Christmas talk: Santa Claus needs optimal transport
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 (f/m/d) (21/20)
Numerical Mathematics and Scientific Computing, numerical analysis, discretization, partial differential equations, fluid dynamics, electro chemistry, semiconductor electronics
Research Assistant Position (m/f/d) (21/23)
statistics, machine learning, image processing, statistical inverse problems
PhD student position (f/m/d) (21/26)
applied mathematics, bio-mathematics, theoretical (bio) physics or electrical engineering, continuum mechanics, asymptotic analysis, numerical methods for partial differential equations
PhD student position (f/m/d) (21/27)
applied mathematics, stochastics, battery chemistry, stochastic optimal control