Ingénieur position in statistics to work on phytoplankton and ocean dynamics decadal variabilityExternal

News Overview

Contact: Dr Elodie Martinez
E-mail: elodie.martinez [at]
website: UMR EIO website
Deadline: August 1, 2016

The fellow will explore a number of linear to non-linear Statistical Models using the physical parameters to explain phytoplankton data as part of the PHYTOplankton DEcadal Variability(PHYTODEV) project.

The candidate will have an Ingénieur degree or PhD with a good background in statistics and a few years of work experience. The candidate will be able to format coherent datasets from observed satellite and in-situ data, implement statistical models and manipulate model outputs.

The fellow will be based at IRD Tahiti in the UMR EIO FORDIV team under the supervision of Dr. Elodie Martinez. For more details see the job description below.