The DFG-funded Collaborative Research Center SFB 1294 “Data Assimilation”, hosted at the University of Potsdam jointly with its partner institutions HU Berlin, TU Berlin, WIAS Berlin and GFZ Potsdam, invites applications for a doctoral researcher position (75% of full-time employee position with salary grade TV L – E13) within Project A04: “Nonlinear statistical inverse problems with random observations”.

The candidate will work at the Institute of Mathematics at the University of Potsdam under the supervision of Prof. H. C. Lie and Prof. W. Huisinga.

Within Project A04, the doctoral researcher will study non-parametric estimation of covariate effects on the parameters of a time-dependent process in a Bayesian statistical context. This estimation problem is motivated by the need for covariate modeling in analyzing clinical data. The doctoral researcher will develop the mathematical theory of nonparametric Bayesian inference for nonlinear inverse problems featuring random design, with a focus on adaptive posterior concentration and frequentist coverage. One or more examples from pharmacology will serve as test cases for the developed methods.

The SFB 1294 provides an excellent research infrastructure including a large interdisciplinary network of researchers and its own graduate school, as well as funding opportunities for conference visits, summer schools, and hosting international experts.

The SFB 1294 seeks to promote diversity in research, and encourages qualified applicants of any gender and from any background to apply.

For the announcement of this position, see https://www.sfb1294.de/fileadmin/user_upload/Open_positions/A04_3rd_round.pdf .