Statistical Modeling of Complex Systems and Processes

Postdoctoral fellow

The research training groups offers fellowships for one or two postdoctoral researchers who participate in the research and the training activities of the group.

University of Mannheim, Institute of Mathematics

Martin joined the research group in October 2014 and is working on

  • point processes and their statistical inference
  • statistical inverse problems

He defended his thesis "Concentration inequalities for Poisson point processes with applications to nonparametric statistics" in 2017 in Mannheim. Before starting his postdoc in Paris, he spends the summer of 2017 as a postdoc with startup funding within the RTG.

Martin was supervised by Prof. Dr. Martin Schlather and Prof. Dr. Jan Johannes
Contact: martin.kroll(at)



University of Mannheim, Institute of Mathematics

Björn received his diploma in Applied Mathematics from the TU Bergakademie Freiberg in 2011 with minor field in physics. He completed his PhD in mathematics at the TU Chemnitz in June 2017 focusing on numerical methods for Bayesian inference in Hilbert spaces. He joined the research group in August 2017 and is working on

  • Markov chain Monte Carlo methods for Bayesian inverse problems, in particular, variance-robust and dimension-independent Metropolis-Hastings algorithms
  • Analysis of the ensemble Kalman filter for data assimilation
  • Sparse grid collocation methods for uncertainty quantification

contact: bjoern.sprungk(at)