Vacancy: Assistant professor in applied probability
Credit: Anna Logue
Chair in Probability Theory
Prof. Dr. Leif Döring
Credit: Emilie Orgler
The research of the group focuses on the theoretical and statistical questions for stochastic processes, such as
- Stochastic Differential Equations (with jumps)
- Lévy- and Self-Similar Markov Processes
- Branching Processes
- Non-parametric statistics
- Markov decision processes
Stochastic processes are central in the growth of probability theory during the past decades and have various applications in industry for instance in insurance and banking.
Teaching of the chair is focused on Analysis and Probability Theory. We regularly offer the lectures Analysis 1 and 2, Stochastik 1, Stochastic Processes (WT1), and Markov chains. Master's students can specialize with our advanced courses on Markov processes, Lévy Processes, Stochastic Differential Equations, and probabilistic aspects of artificial intelligence such as Markov Decision Processes.
We are part of the Institute of Mathematics at the University of Mannheim where more groups are working on probability theory and applications in statistics, uncertainty quantification, finance, and numerics such as Prof Andreas Neuenkirch, Prof David Prömel, Prof Claudia Schillings, and Prof Martin Schlather. Jointly with colleagues from Mannheim and the University of Heidelberg we run the research training group “Statistical Modeling of Complex Systems and Processes” funded by the German Research Foundation (DFG).