Fabienne Maignan maignan at lsce.ipsl.fr
Fri Jun 17 07:47:43 MDT 2016

LSCE, Gif-sur-Yvette, 17/06/2016

The land-surface modeling group at the LSCE (www.lsce.ipsl.fr/) is 
looking for a post-doctoral
researcher or engineer interested in land surface and ecosystem 
modeling. The position is
available for a fixed-term period of 2.5 years with a possible extension.

The scientific context is the quantification of CO2 and CH4 fluxes 
exchanged between the
terrestrial vegetation and the atmosphere and the understanding of the 
underlying processes.
Within the Copernicus Atmosphere Monitoring Service (CAMS), recently 
launched by the
European Commission, the LSCE will directly contribute to the 
improvement of the global
greenhouse gas monitoring and forecasting system of the European Center 
for Meteorological
Weather Forecast (ECMWF). The main objective is to develop global 
statistical models (such as
neural networks or model tree ensembles) for specific processes linked 
to CO2/CH4 fluxes, to be
inserted in the Compound Integrated Forecasting System (C-IFS) of ECMWF. 
The first component
is a statistical model to compute CH4 emissions from wetland and 
permafrost areas, trained with
fluxes estimated from a process-based land surface model (such as the 
ORCHIDEE model) and
forced with meteorological, topographic and productivity variables (from 
C-IFS). The second
component is a statistical model to relate the Gross Primary Production 
(GPP) of the land surface
model in C-IFS to newly available Solar Induced Fluorescence data (SIF) 
measured from space
(such as GOSAT and GOME2 instruments). The candidate will insert in a 
team of researchers
with the primary objective to help constructing these statistical models 
and to valorize them in
collaboration with ECMWF researchers. He/She will also use the global 
land surface model
ORCHIDEE (co-developed at LSCE), including recent developments related 
to natural CH4
emissions and the simulation of canopy level vegetation fluorescence. 
Specific tasks of the
position will be further adjusted following discussions between the 
applicant and the principal
investigators, while taking into account the experience of the 
applicant. The activities will be
located at LSCE (CEA, Orme des Merisiers, Gif/Yvette, France) on the 
plateau of Saclay,
approximately 25 km south-west of Paris, with some travel to England 

_Home institution:_
Laboratoire des Sciences du Climat et de l’Environnement (LSCE, 
Orme-les-Merisiers, Gif-sur-
Yvette). LSCE is a joint research unit of Commissariat à L’Energie 
Atomique et des Energies
Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS) 
and Université de
Versailles Saint Quentin-en-Yvelines (UVSQ). LSCE employs over 320 
researchers covering 30
different nationalities. Their research mission is to contribute to a 
better understanding of the
interactions between human activities in the Earth System, environment 
and climate dynamics at
different time scales. LSCE is a world-class institute and a thriving 
nexus for climate change

_Qualifications required:_
We are seeking highly motivated candidates with a degree (Master or PhD) 
in for example
mathematics, physics, engineering, computer science, meteorology or 
theoretical ecology.
Candidates should have preferably expertise in statistical or 
process-oriented modeling and strong
desire to develop code and integrate scientific knowledge into numerical 
schemes. A broad
interest in natural sciences and more specifically in terrestrial 
ecology is essential.

_Required content of the application:_
Applications and inquiries should be sent to:
Philippe Peylin (peylin at lsce.ipsl.fr)
Frederic Chevallier (chevalier at lsce.ipsl.fr)
Applications should include (1) a curriculum vitae, (2) statement of 
motivation and (3) names,
addresses, phone numbers, and email addresses of at least two 
references. The position is
available from September 1st and will remain open until filled with a 
review of applications and
interviews starting early July. Salary follows national directives and 
is adjusted for work
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