Title: Posteriori properties for Bayesian regression models and applications in large and complex industrial and medical data

The Research, Innovation and Dissemination Center for Mathematical Sciences Applied to Industry (CeMEAI), hosted by the University of São Paulo, Brazil, and funded by FAPESP (São Paulo Research Foundation, Brazil) is offering a 1-year post-doctoral fellowship for candidates with outstanding research potential.

This position is focused on the study of posteriori properties in Bayesian regression models and applications in large and

Applicants must have received, or expect to complete, a doctorate in Mathematics, Statistics or related discipline within the last 5 years. Selection criteria will include demonstrated research ability in Mathematics, Statistics or related discipline, a strong background in real analysis, integration in R^n, measure, Bayesian methodology and computation, experience with analysis of datasets, commitment to collab...