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GEOSCIENTIST/PHYSICAL SCIENTIST |
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| Job Description |
I.M. Systems Group, Inc. (IMSG) (www.imsg.com) is looking for highly motivated individuals to join our team efforts to support NOAA/NESDIS/Center for Satellite Applications Research (STAR). IMSG is currently seeking to hire a Geoscientist/Physical Scientist, (Microwave Remote Sensing) to support NOAA STAR in Camp Springs, MD.
IMSG supports STAR in applied science research and development efforts in a semi-research and semi-operational working environment along with U.S. government scientists, visiting scientists, and other contractors. There are a number of openings to provide multi-year scientific and technical support to STAR, located in Camp Springs, Maryland, and Silver Spring, Maryland, in applied science research and development for critical, current, and future (such as GOES-R, NPOESS, etc.) national meteorological geostationary and polar-orbiting satellite programs. Ideal candidates possess advanced degrees in physical sciences, remote sensing, astronomy, physics, mathematics, and computer science, etc., and/or have sophisticated programming skills in IDL/Matlab, C/C++ or FORTRAN. Experience in relevant fields is generally required.
Duties:
. Support lead NOAA/NESDIS scientist(s) in developing the methodology,
algorithm theoretical basis, and data product generation systems
. Work on land surface models and their validation using satellite retrieved
emissivity
. Work on satellite instrument calibration and monitoring and product
validation
To Apply:
Please send your resume, contact information for three (3) references and a cover letter explaining how your qualifications meet the requirements of the position to jobs@imsg.com with the following subject heading:
NCST136n01: Geoscientist/Physical Scientist. Please CC: Dr. Le Jiang
(jiangl@imsg.com)
IMSG is an Equal Opportunity Employer.
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| Skill Requirements |
Requirements:
* MS, or Ph.D. degree in atmospheric science or related field
* Extensive knowledge in passive remote sensing: sounding and imaging using
variational/physical algorithms
* Thorough knowledge in remote sensing and related phenomena
* Experience in radiative transfer; preferable to be familiar with CRTM
* Familiarity with calibration/validation processes
* Familiarity with Eigenvalue decomposition (a plus)
* Experience developing algorithms for temperature, water vapor and other
atmospheric profiles (cloud, rain, ice), skin temperature, surface emissivity
* Ability and/or motivation to implement new ideas
* Software skills in IDL and Fortran
* Publications in the field.
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