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.
Mathematics our universal language!
New video clip from WIAS, produced for Berlin Science Week.
PhD student position (f/m/d) (22/24)
Data‐driven optimization and control; machine learning
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) (22/33)
data-driven and variational regularization methods for dynamic image reconstruction
Foreign language secretary (m/w/d) (22/35)
Research Group Numerical Mathematics and Scientific Computing
PhD student position (f/m/d) (22/37)
Equilibria for Distributed Multi-Modal Energy Systems under Uncertainty
Research Assistant Position (f/m/d) (22/39)
Theoretical and numerical study of photonic crystal surface-emitting semiconductor lasers (PCSELs)
Research Assistant Position (f/m/d) (22/40)
Optimization with partial differential equations and variational inequalities
Research Assistant Position (f/m/d) on Quantitative Tissue Pressure Imaging via PDE-informed Assimilation of MR Data (22/42)
Numerical Mathematics and Scientific Computing
PhD student position (m/f/d) (22/45)