Description
SAIC is seeking a Software Engineer to support our customer, NOAA GFDL, in Princeton, NJ. This position requires an ability to obtain a Public Trust and work at the local customer site. Desired physical location is in the Princeton, NJ or surrounding area.
The Software Engineer responsibilities include, but are not limited to:
Position has opportunities to publish manuscripts in data journals, learn different methodologies that made data Findable, Accessible, Interoperable and Reusable.
Qualifications
Required Qualifications:
Desirable Skills:
Program and Project Details:
GFDL is focused on comprehensive long-lead-time research that is fundamental to advancing the scientific understanding of the physical, dynamical, chemical and biogeochemical processes governing the behavior of the atmosphere, oceans, land, and ice components and their interactions with the ecosystem. Scientists at GFDL develop and use Earth system models and computer simulations to improve our understanding and prediction of all aspects of the climate system. GFDL scientists focus on model-building relevant for society, for hurricane research, weather and ocean prediction, seasonal forecasting, understanding regional and global climate change, and more. GFDL has pioneered much of the world’s research on the modeling of climate change since 1955.
GFDL’s research encompasses the predictability and sensitivity of global and regional climate; the structure, variability, dynamics and interaction of the atmosphere, the ocean, sea ice, and land; and the ways that the atmosphere, oceans, and land influence, and are influenced by various trace constituents. This science incorporates a variety of disciplines including meteorology, oceanography, hydrology, classical physics, fluid dynamics, chemistry, applied mathematics, and numerical analysis.
Research at GFDL is facilitated by the Atmospheric and Oceanic Sciences Program, which is a collaborative program with Princeton University. Under this program, Princeton faculty, research scientists, and graduate students participate in theoretical, analytical, numerical, and observational studies. The program is supported in part by NOAA funding.
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