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
DFG to fund new Collaborative Research Center with WIAS participation
Collaborative Research Center / Transregio "Rough Analysis, Stochastic Dynamics and Related Fields" granted for four years; spokesperson is Peter K. Friz (TU Berlin / WIAS).
WIAS researcher selected as participant for prestigious conference
Markus Kantner takes part in the 73rd Lindau Nobel Laureate Meeting from 30 June - 5 July 2024.
Events
Monday, 01.07.2024 (WIAS-ESH)
Developments in Computational Finance - Honoring John Schoenmakers on the occasion of his retirement (Workshop/Conference)
Jobs
Research Assistant Position (f/m/d) (23/28)
Optimization with partial differential equations and variational inequalities
PhD student position (f/m/d) (24/02)
Distributed algorithms for physics based large scale equilibrium problems.
Employee in the IT department (f/m/d) (24/06)
Strengthening information technology security at WIAS and PDI
Student Assistant (f/m/d) (24/07)
Support of the IMU Archive in various aspects relating to the archiving and digital publication of ICM proceedings
PhD student position (f/m/d) (24/08)
Research principled optimal transport theory, optimization, and machine learning
Professorship (W3) for “Mathematical Statistics” (24/10)
The development of innovative mathematical analysis methods and algorithms dealing with statistical problems