|From||Natasha MacBean <firstname.lastname@example.org>|
|Date||Wed, 18 Jul 2012 09:37:19 +0200|
2-year post-doctoral position at the Laboratoire des Sciences du Climat et de l’Environment (LSCE) in carbon cycle data assimilation with biomass data.
Description of responsibilities
In order to fully assess the impact of increased atmospheric greenhouse gases concentrations on the climate there is a need to better quantify and understand the sources, sinks and feedbacks of the global carbon cycle. Researchers at LSCE are developing an innovative global Carbon Cycle Data Assimilation System (CCDAS). The aim of the assimilation procedure is to constrain the parameters of the land-surface model ORCHIDEE and thereby quantify and reduce the uncertainty of modeled C and water fluxes. The candidate will join this team and will be responsible for the development of the CCDAS for assimilation of biomass data, as well as fully testing the system with site-based data from different ecosystems. They will also work with other researchers in combining different datasets within the CCDAS, including satellite reflectance data, in-situ ecological measurements, and CO2 atmospheric concentrations. The successful candidate will participate in scientific conferences and will report the results in peer-reviewed international journals.
Laboratoire des Sciences du Climat et de l'Environnement (LSCE, Gif-sur-Yvette). LSCE is a joint research unit of the Commissariat à L’Energie Atomique (CEA), the Centre National de la Recherche Scientifique (CNRS) and Université de Versailles Saint Quentin-en-Yvelines (UVSQ). LSCE employs over 250 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. Salary is commensurate with experience, and includes full social and health benefits.
The candidate should have a PhD in natural sciences. Priority will be given to those candidates with a background in land surface modeling and data assimilation. In addition, the candidate should be comfortable with computing tools such as FORTRAN, Python and/or IDL programming and the UNIX system. The candidate should be highly motivated with a proven ability to be dynamic, open and work collaboratively with a team of scientists.
Applications including a CV, a letter of motivation, research interests and expertise and the names, addresses, phone numbers and email addresses of two references should be sent to Philippe Peylin (email@example.com) and Natasha MacBean (firstname.lastname@example.org). The deadline for the application is 3rd August, 2012, and the position is available from 1st November, 2012.
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