
Post-doctoral position in statistics/machine learning, University of Helsinki
3 days ago
Aug 17, 2018
The Department of Mathematics and Statistics at the University of Helsinki has an open 3+1 year post-doctoral position in a project funded by the 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.
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 considered an advantage. The exact direction to which the postdoc 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
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