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.
Schrödinger Fellow Michael Kniely at the WIAS
Mathematician from Graz conducts basic mathematical research for technical solutions.
Wednesday, 22.03.2023, 10.00 (WIAS-406)
Joint Research Seminar on Nonsmooth Variational Problems and Operator Equations / Mathematical Optimization
Dr. C. Christof, Technische Universität München:
On the identification and optimization of nonsmooth superposition operators in semilinear elliptic PDEs
PhD student position (f/m/d) (22/27)
Multicriteria Optimization Subject to Equilibrium Constraints Using the Example of Gas Networks
PhD student position (f/m/d) (22/29)
Stochastic gradient methods for almost sure state constraints for optimal control of gas flow under uncertainty
Research Assistant Position (f/m/d) (22/40)
Optimization with partial differential equations and variational inequalities
Research Assistant Position (f/m/d) (23/02)
Development, analysis and implementation of discretization methods and solution algorithms for the transport of charged species
Research Associate (f/m/d) (23/04)
Development of infrastructures for mathematics, implementing the FAIR principles and supporting Open Science with focus on statistics and machine learning
Research Associate (f/m/d) (23/05)
Mathematical research data in image processing and biomedical sciences