Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading organization is seeking a POSTDOCTORAL RESEARCHER in statistics and machine learning for a two-year fixed term position. The role focuses on developing cutting-edge statistical methods for analyzing complex ecological data using Bayesian hierarchical models within a collaborative research environment.
Feb 4, 2020
Dear all
We are looking for a POSTDOCTORAL RESEARCHER in statistics and machine learning for a fixed term of two years.
The deadline for applications is March 1st.
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.
Jarno Vanhatalo,
D.Sc. (Tech.), Assistant Professor of statistics
Department of Mathematics and Statistics and
Organismal and Evolutionary Biology Research Programme
University of Helsinki