[ES_JOBS_NET] Land Modeling and Data Assimilation System Specialist, Greenbelt, MD

Christine Wiedinmyer christin at ucar.edu
Fri Oct 30 08:53:40 MDT 2015


*http://tinyurl.com/q8bag6s

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SSAI is an Equal Employment Opportunity and Affirmative Action Employer.
EEO/AA – Minorities/Females/Disabled/Veterans
Land Modeling and Data Assimilation System Specialist
Reference #: 	15-1667
Open Date: 	3/11/2015
Location: 	Greenbelt, MD
Status: 	
US Citizenship Required 	No
	

Job Description:
SSAI is seeking a GEOS-5 Land Modeling and Data Assimilation System 
specialist to support the Global Modeling and Assimilation Office at the 
NASA Goddard Space Flight Center. The work location is in Greenbelt, MD.

The positionis designed for a mid-career scientist/programmer or 
numerical modeler with commensurate experience using and/or running 
coupled atmosphere and land models.  The selected staff member will 
serve as integrator or “gate keeper” for land model and data 
assimilation system development at the NASA Global Modeling and 
Assimilation Office (GMAO).  This implies the following expected duties:

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    Become the subject matter expert in development and documentation of
    the NASA GEOS-5 land modeling and data assimilation system.

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    Integrate science software and model parameters developed by GMAO
    science staff into the operational GEOS-5 system and perform
    associated tests.

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    Assist in solving daily technical problems (as opposed to strictly
    scientific problems).

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    Ensure proper coordination with other model development groups in
    the GMAO.

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    Maintain appropriate standards and interfaces to facilitate coupling
    of Land-Atmosphere-Ocean models in the broader NASA GEOS-5 system.

Required Qualifications:

A minimum of a BS degreein numerical land, atmospheric, or ocean 
modeling or a related field and 8 years of relevant experience 
is required for this position, or an equivalent combination of education 
and professional experience.

Desired Qualifications:

A Master's Degree is strongly preferred. Applicants should possess 5-10 
years of experience in designing, running, and analyzing output from 
standalone or coupled land, atmosphere, or ocean numerical models or 
data assimilation systems.  Extensive experience in FORTRAN programming 
is required. The applicant must be very detail-oriented.  Experience in 
Python programming is highly desired, as is familiarity with relevant 
data formats (including NetCDF and HDF) and object-oriented software 
paradigms (e.g., ESMF).  Expert knowledge of parallel computing 
processes and languages is also desired.

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