Doctoral position in Bayesian spatiotemporal statistics for forest disturbance monitoring
A doctoral position currently open at the Laboratoire d’Inventaire Forestier, Institut National de l’Information Géographique et Forestière, in Nancy, France.
The doctoral project will be supervised by Alexander Massey, a researcher in survey sampling and statistical inference for forests at the Laboratoire d’Inventaire Forestier.
The project focuses on small-area estimation methods for forest disturbance monitoring using Bayesian spatiotemporal approaches. It should be of particular interest to students with a background in statistics, spatial modelling, Bayesian inference, environmental statistics, forest inventory, or related fields.
Further details are available here:
https://lif-geodata.github.io/LIF/phd-xrisks.html
The doctoral project will be supervised by Alexander Massey, a researcher in survey sampling and statistical inference for forests at the Laboratoire d’Inventaire Forestier.
The project focuses on small-area estimation methods for forest disturbance monitoring using Bayesian spatiotemporal approaches. It should be of particular interest to students with a background in statistics, spatial modelling, Bayesian inference, environmental statistics, forest inventory, or related fields.
Further details are available here:
https://lif-geodata.github.io/LIF/phd-xrisks.html
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