Post-Doctoral Fellowship

  • Full Time
  • France

Post-doctoral fellowship at CNRM (UMR 3589 – METEO-FRANCE, CNRS)

Applications are invited for two postdoctoral research fellowships
starting in 1st quarter of 2018, at Météo-France, in the Mesoscale
Modelling Group of Centre National de Recherches Météorologiques (CNRM)
in Toulouse, France (<>) to work on the following

Implementation of a global land data assimilation system (LDAS-Monde)
(renewable 12-month contracts)

CNRM develops the ISBA land surface model within SURFEX, an operational
modeling platform able to simulate the terrestrial water and carbon fluxes.

SURFEX is coupled to a number of atmospheric and hydrological models,
and includes a land data assimilation system (LDAS) based on an Extended
Kalman filter, able to analyze soil moisture and vegetation biomass at
spatial resolutions ranging from 1 to 50 km.

LDAS-Monde is operational at a global scale and satellite-derived
products (soil moisture, LAI) are integrated into the ISBA land surface

The post-doctorate fellows will contribute to the upgrade of LDAS-Monde.
In particular, a 1D demonstrator of the Ensemble Kalman filter will be
tested 2D. The impact of using the EnKF on land variables and on the
river discharge will be assessed. A reanalysis of land essential climate
variables (ECVs) will be produced and assessed. Finally, the operation
of LDAS-Monde in near-real-time will be tested. The potential impact of
the analysis on applications in hydrology, agrometeorology, and on the
quality control of satellite-derived land variables will be assessed.

The net monthly salary will vary from about 2600 € to 3200 € before
income tax, depending on qualification.
Application should be done by email by sending a resume, a motivation
letter, and the names, telephone and email address of two referees to:


The closing date for applications is *** 30 September 2017 ***.

The candidates should have knowledge on data assimilation and possibly
land surface modelling and/or remote sensing of continental surfaces.
They should be familiar with programming data analysis in Python, with
the Linux environment, and with the FORTRAN programming language.

To apply for this job email your details to