Mission
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.
Research
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.

News
Berlin Mathematics Day in Adlershof
WIAS is co-organizer of the hands-on and information event around mathematics
Events
Wednesday, 07.06.2023, 11.30 (WIAS-405-406)
Seminar Interacting Random Systems
G. Last, Karlsruher Institut für Technologie:
A Palm approach to tail processes and tail measures

Jobs
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 Position (f/m/d) (23/07)
Simulation of Semiconductor Devices for Quantum Technologies
Research Assistant Position (f/m/d) (23/08)
Theory and modeling of electrochemical systems
Research Software Engineer and Steward (f/m/d) (23/10)
Establish and ensure a sustainable, quality-assuring development of research software
Postdoc Position (f/m/d) (23/11)
Data-driven Robust Model Predictive Control under Distribution Shift
PhD student position (f/m/d) (23/12)
Research on physically consistent discretizations for problems from fluid dynamics
PhD student position (f/m/d) (23/13)
Multicriteria Optimization Subject to Equilibrium Constraints Using the Example of Gas Networks
PhD student position (f/m/d) (23/14)
Stochastic gradient methods for almost sure state constraints for optimal control of gas flow under uncertainty