|From||"De Lannoy, Gabrielle J. (GSFC-610.1)[UNIVERSITIES SPACE RESEARCH ASSOCIATION]" <firstname.lastname@example.org>|
|Date||Fri, 15 Feb 2013 21:43:20 -0600|
The land surface data assimilation group at the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center is seeking a postdoctoral researcher or scientist to support the assimilation of satellite data from the Gravity Recovery and Climate Experiment (GRACE) and Soil Moisture Ocean Salinity (SMOS) missions to improve the global estimation of soil moisture. This position is for two years, with the possibility of a one-year extension. Job Description ----------------------- The scientist will develop and implement a joint GRACE and SMOS assimilation component within the Goddard Earth Observing System (GEOS) model and its associated Data Assimilation System (DAS) at the GMAO. The joint assimilation of GRACE derived terrestrial water storage variations and SMOS brightness temperature is expected to improve the estimation of root-zone soil moisture. Required Skills ----------------------- - A PhD in Hydrology, Atmospheric Sciences, or equivalent experience is needed. - Experience of coding and running global land surface models and data assimilation systems on high-end computing systems is highly desirable. - Hands-on ability to run data-processing applications such as Matlab, IDL, or GrADS is needed. - A proven ability to communicate through conference presentations and scientific publications is needed. More Information ----------------------- The position is with the Universities Space Research Association (USRA) under the Goddard Earth Sciences Technology & Research (GESTAR) cooperative agreement between NASA/GSFC and USRA. The job-ad can be found here: <https://usra-openhire.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&jobid=87> Applicants should submit their resume on-line through the USRA webpage listed above. Applications will be evaluated starting March 15, 2013, but applications will be accepted until the position is filled.
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