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 presents Funding Atlas 2024
The current DFG Funding Atlas witnesses the institute's successful acquisition of research funding in the period 2020-2022.
Events
Tuesday, 21.01.2025, 17.00 (Online Event)
Seminar Modern Methods in Applied Stochastics and Nonparametric Statistics
Dr. F. Primavera, Universität Wien:
Functional Ito-formula and Taylor expansions for non-anticipative maps of Càdlàg rough path (online talk)
Jobs
Research Assistant Position (f/m/d) (23/28)
Optimization with partial differential equations and variational inequalities
Research Assistant Position (f/m/d) (24/14)
Scalable, high-performance computational platform for digital twins of human organs
PhD student position (f/m/d) (24/20)
Researching principled optimal transport theory, optimization, and machine learning
PhD Student Position (f/m/d) (24/21)
Optimization with partial differential equations under uncertainty
Research Assistant Position (f/m/d) (24/22)
Optimization with partial differential equations and variational inequalities
Research Assistant position (f/m/d) (25/01)
Modeling of optoelectronic devices
Research Assistant position (f/m/d) (25/02)
Simulation of coupled multi-physics problems, preferably for biomechanical problems, Modeling, simulation and numerical analysis of neuromorphic devices