Aug 17, 2018
Department of Mathematics and statistics at University of Helsinki has an open 3+1 year post-doctoral position in a project funded by Academy of Finland. The objective of the project is to develop novel hierarchical Bayesian models and computational methods for analyzing long-term spatially structured ecological and environmental data sets.
Position description and application instructions can be found here:
A successful candidate will have experience in the development and application of Bayesian methods for computationally challenging problems. In particular, prior experience in multivariate generalized linear mixed models, factor models and/or Gaussian processes is highly valued. A successful candidate will also have experience in scientific computing. Prior experience in ecology is not necessary, but is counted as an advantage. The exact direction to which ...