Weierstrass Institute

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) »

Mathematical Research Data Initiative (MaRDI) »

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

Statement by the four founding coordinators of Berlin Research 50 (BR50) on Russia's attack on the Ukraine
“Our thoughts and solidarity are with the Ukrainian people”

news archive

Events
Tuesday, 24.05.2022, 15.15 (WIAS-ESH)
Oberseminar Nonlinear Dynamics
Dr. O. A. Burylko, Institute of Mathematics NAS of Ukraine and Potsdam Institute for Climate Impact Research:
Symmetry breaking yields chimeras in two small populations of Kuramoto-type oscillators (hybrid talk)

further events

Jobs

PhD student position (f/m/d) (21/21)
statistical machine learning, continuous optimization, nonparametric statistics

Research Assistant (m/f/d) for knowledge modelling in the field of applied mathematics and simulation (22/07)
Mathematics, theoretical physics, chemistry, informatics, engineering, modeling, simulation, research data, open science, NFDI, knowledge graph

Research Assistant (m/f/d) for knowledge modeling in the area of statistics with connection to image processing or neuroscience (22/08)
mathematics, statistics, image processing, neuroscience, research data, OpenScience, NFDI, Knowledge Graph

Research Assistant (m/f/d) for the development of a library and plattform for statistical algorithms and analyses (22/09)
MaRDI, NFDI, OpenScience, Research Data, Statistics

Postdoc position (m/f/d) in computational optoelectronics (22/10)
mathematics, physics, physics of semiconductors, optoelectronics, scientific computing, computational physics, mathematical modeling, laser, semiconductor, optics, simulation, nanostructures, research software

PhD student position (f/m/d) on optimization methods for deep learning (22/13)
Nonsmooth Variational Problems and Operator Equations

PhD student position (f/m/d) (22/19)
Probabilistic Methods for Dynamic Communication Networks

PostDoc position (f/m/d) (22/20)
Probabilistic Methods for Dynamic Communication Networks

Research Assistant (m/f/d) (22/22)
Numerical Mathematics and Scientific Computing

PhD student position (f/m/d) in Optimization and Machine Learning (22/24)
Data‐driven Optimization and Control