The Institute for Mathematical Stochastics (IMS) was founded in 1918 (at the time as the Institute for Mathematical Statistics and Insurance Mathematics) by Felix Bernstein, encouraged by David Hilbert. Today, the IMS features four research groups focusing on varoius areas of probability theory and mathematical statistics with strong interactions to bio- and life sciences and the Felix-Bernstein Institute for Mathematical Statistics in the Biosciences.
In addition to a basic curriculum in probability, mathematical statistics and insurance mathematics for the Bachelor/Master Degree Programms in Mathematics and the newly founded Bachelor Degree Programme Mathematical Data Science, the IMS provides PhD training in "Mathematical Sciences" (within the GAUSS program), amongst others in the Reseach Training Group 2088 and varoius Collaborative Research Centres funded by the DFG.
News:
Doctoral Researcher (all genders welcome):
At the University of Göttingen - Public Law Foundation – we offer a position in the research group of Prof. Dr. Christian Hirsch, Department of Mathematics and Computer Science, Institute for Mathematical Stochastics, starting January 1, 2027 or later as
Doctoral Researcher (all genders welcome)
- 75% of pay grade 13 TV-L -
The vacancy is limited for 3 years. The position will be filled subject to the provision of the necessary third-party funding by the funding source.
Postdoc position (all genders welcome):
At the University of Göttingen - Public Law Foundation – we offer a position in the research group of Prof. Dr. Christian Hirsch, Department of Mathematics and Computer Science, Institute for Mathematical Stochastics, starting January 1, 2027 or later as
Postdoc position (all genders welcome)
- 100% of pay grade 13 TV-L -
The vacancy is limited for 2 years.
If you are interested, please click here
Next talk in the Stochastics Colloquium:
30.09.2026, 11:15, Prof. Dr. Yuichi Goto (Kyushu University, Japan)
"On parametric spectral inference for heavy-tailed time series" (Abstract).
Seminar on stochastic processes Random spatial networks (winter term 2026/2027):
Key information
Time:
Time and room will be announced separately. Regular attendance is required.
Prerequisites:
Basic knowledge of probability theory is required. Familiarity with stochastic processes is helpful. No prior knowledge of stochastic geometry, point processes, percolation theory, or random graph theory is assumed.
Instructor:
Prof. Dr. Christian Hirsch
ILanguage:
English
For more information, please click here.