3 years Postdoc position ‘Statistical Foundations of Data Science’

We are looking for highly-motivated applicants with a very good PhD thesis in mathematics, statistics or a related area who have an excellent background in statistical theory and/or computational statistics and optimization. The advertised position is associated with the working group of Prof. Axel Munk, https://www.stochastik.math.uni-goettingen.de/munk

Research topics include but are not limited to: Statistical data analysis based on optimal transport, sublinear time statistical estimation and testing, statistical inference on discrete structures such as graphs and networks, and geometrical statistical methods. We offer the possibility to collaborate in a team together with lab scientists within the DFG-cluster of excellence: “MBExC: Multiscale bioimaging: From molecular machines to networks of excitable cells”, the DFG collaborative research center “Mathematics of experiment”, the DFG Research Unit “Mathematical Statistics in the Information Age” and with other groups from mathematics and computational science. Possible applications include the development of new data analysis techniques for cryo-EM, super resolution microscopy or the analysis of cell formation and evolution. Finishing a habilitation or the willingness to work toward it is very welcome. Reduced teaching duties for an equivalent of 2 hours of classes a week during the semester involve support for the newly developed lecture series “Statistical foundations of data science” and the co-organization of advanced seminars. Good English language skills are mandatory, German language skills are useful but not necessarily required at the beginning.

Please find the full details and how to apply at https://obp.uni-goettingen.de/en-US/Stellen/StellenDruck/74065