Postdoctoral Researcher in Machine Learning Statistics

21 hours ago


Helsinki, Uusimaa, Finland The International Society for Bayesian Analysis Full time
The International Society for Bayesian Analysis invites applications for a Postdoctoral Researcher position in machine learning statistics. The successful candidate will work on developing statistical and computational methods for analyzing large ecological datasets.

About the Centre

The Research Centre for Ecological Change (REC) aims to generate a coordinated analysis of long-term ecological data to understand impacts of global change. The centre develops state-of-the-art methodology for analysing long-term spatially structured data sets within a joint species distribution modeling framework.

Job Responsibilities

  • Developing statistical and computational methods for analyzing large ecological datasets
  • Applying joint species distribution models to hierarchical, spatial and temporal study designs
  • Working with novel latent factor and Gaussian process models

Requirements

  • PhD in statistics or machine learning
  • Strong background in Bayesian hierarchical multivariate spatio-temporal models
  • Experience with predictive model comparison methods


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