Weierstrass Institute

For infection prevention reasons, the institute is currently only accessible to visitors by prior arrangement.

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.

Service to the Community

Secretariat of the International Mathematical Union (IMU) »

Office of the German Mathematical Society (DMV) »

Leibniz Network "Mathematical Modeling and Simulation" »

Mathematical Core Areas

The WIAS is organised in eight Research Groups specializing in different mathematical techniques and methods. Additional temporary teams are created within a Flexible Research Platform as the need arises. The core areas of mathematical research are the analysis and numerics of partial differential equations, and stochastics.

Main Areas of Application

Research at WIAS focuses on the following application areas

Cooperation and Consulting

Modern applied mathematical methods are a fundamental resource and driving force for technological and economic development around the world. The rapid development of computer technology and mathematically based numerical methods are making it possible to numerically simulate ever more complex engineering, medical, economic and environmental problems.

At the WIAS excellent fundamental research is combined with years of experience in cooperating successfully with partners in the widest possible mix of application fields. The institute is therefore a recognized expert in the solution of complex economic, scientific, and technical problems by means of mathematical modeling and numerical simulation.

News

WIAS successful in Leibniz competition
Leibniz Association funds cooperation project UVSimTech to develop new and compact UV-C lasers for medicine and biotechnology.

Recent results of joint research with the Tyndall Institute (Cork, Ireland)
Multidisciplinary approach where Physicists and Mathematicians worked together to understand how fundamental properties of materials affected the properties of optoelectronic devices and guide the design of nitride-based light emitters published in AIP J. Appl. Phys.

news archive

Events
Monday, 06.12.2021, 15.00 (Online Event)
Berlin Oberseminar: Optimization, Control and Inverse Problems
Prof. Dr. J. C. de los Reyes, Escuela Politécnica Nacional, Ecuador:
Bilevel learning for inverse problems

further events

Jobs

Research Assistant Position (f/m/d) (20/23)
Nonsmooth Variational Problems and Operator Equations

Employee in computer engineering (f/m/d) (20/25)
data management systems, JAVA

Research Assistant position (f/m/d) (21/20)
Numerical Mathematics and Scientific Computing, numerical analysis, discretization, partial differential equations, fluid dynamics, electro chemistry, semiconductor electronics

Research Assistant Position (m/f/d) (21/23)
statistics, machine learning, image processing, statistical inverse problems

Foreign language secretary / team assistant (m/w/d) (21/24)
Research Group Nonsmooth Variational Problems and Operator Equations

PhD student position (f/m/d) (21/26)
applied mathematics, bio-mathematics, theoretical (bio) physics or electrical engineering, continuum mechanics, asymptotic analysis, numerical methods for partial differential equations

PhD student position (f/m/d) (21/27)
applied mathematics, stochastics, battery chemistry, stochastic optimal control