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:
https://www.helsinki.fi/en/open-positions/postdoctoral-researcher-statistics-machine-learning
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 the post doc will develop the models can be agreed upon based on the experience and interests of the candidate.
For more information, contact assistant Professor Jarno Vanhatalo by email: jarno.vanhatalo@helsinki.fi.
Yours,
—
Jarno Vanhatalo,
D.Sc. (Tech.), Assistant Professor of statistics
Department of Mathematics and Statistics and
Organismal and Evolutionary Biology Research Programme
University of Helsinki
www.helsinki.fi/~jpvanhat