POSTDOCTORAL RESEARCHER in statistics and machine learning

POSTDOCTORAL RESEARCHER in statistics and machine learning

We are looking for a POSTDOCTORAL RESEARCHER in statistics and machine learning for a fixed term of two years.

The post doc position is part of the Research Centre for Ecological Change (REC) and will be placed at the Department of Mathematics and Statistics and the Organismal and Evolutionary Biology Research Programme.

The position is aimed at developing statistical and computational methods for analyzing large and heterogeneous data. The methodological work focuses specifically on development of Bayesian hierarchical multivariate spatio-temporal models and predictive model comparison methods within so-called joint species distribution modeling (JSDM) framework. JSDMs are multivariate models that can be applied to hierarchical, spatial and temporal study designs, and many kinds of response data. The JSDMs used in this project are built around novel latent factor and Gaussian process models.