Employer: Institute of Mathematics, University of Potsdam, Germany
Employment period: 2 years
Employment Type: full time, TV-L E 13 salary grade
Gross salary: approximately 4100 Euros per month
Net salary: depends on marital/family status and other factors

Topic: Rigorous Bayesian inference and uncertainty quantification for nonlinear statistical inverse problems in clinical pharmacology

Minimum requirements:
-Ph.D. in mathematics or mathematical statistics
-Good knowledge of mathematical analysis, including functional analysis and measure-theoretic probability, and mathematical statistics
-Good communication skills in English
-Strong ability to work effectively, both independently and in a team
-Experience in scientific computing
-Interest in mathematical analysis and statistical inverse problems

Preference will be given to applicants with experience in statistical inverse problems or Bayesian nonparametric inference.

Applications should include
– a motivation letter,
– a CV with the contact details of at least two referees,
– the academic transcripts for all university degrees, and
– a link to the PhD thesis.
Applications must be submitted at www.geo-x.net/sfb-1294/ .
Applications will be considered on a rolling basis.
The position is to be filled as soon as possible.

Please direct scientific questions to Prof. Dr. Han C. Lie (hanlie@uni-potsdam.de).

Female applicants are strongly encouraged to apply.