POSTDOCTORAL RESEARCHER in statistics and machine learning

14 hours ago


Helsinki, Uusimaa, Finland The International Society for Bayesian Analysis Full time
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 deadline for applications is March 1st.

This 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 the development of Bayesian hierarchical multivariate spatio-temporal models and predictive model comparison methods within the 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
Organismal and Evolutionary Biology Research Programme
University of Helsinki

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