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NASA RESEARCH SCIENTIST

Location: GREENBELT, MD, United States
Date Posted: Oct 2, 2021
Category: Engineering and Sciences
Subcategory: Research Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No
Benefits: Click here

 

Description

 

SAIC seeks to hire a Scientific Programmer Analyst to support the Hydrological Sciences Laboratory (HSL) at NASA Goddard Space Flight Center in Greenbelt, MD.  Successful candidate will participate/lead in the design and implementation of a soil moisture-based agricultural yield forecasting system. Key responsibilities include the management of remote sensing, modeled and reference datasets, system design and functional testing of the software. The candidate should have experience with remote sensing datasets, structured programming, computing platforms and environments and experience/interests in land surface modeling, visible/near infrared, and microwave remote sensing, agricultural mapping/forecasting, statistics, and/or land data assimilation. A good knowledge of earth science data formats is expected and experience in working with satellite datasets is needed. The candidate must also be knowledgeable in visualization/analysis packages and software such as python, GrADS, NCL, IDL, Matlab and GIS. It is desirable that the incumbent has a MS/PhD in computer science, geophysics, hydrology, or related disciplines.  The individual should have good communication (written and oral) skills. Experience in project coordination and writing and reviewing technical reports is also expected.

 

Qualifications

 

TYPICAL EDUCATION AND EXPERIENCE: 

MS/PhD in computer science, geophysics, hydrology, or related disciplines. 

 

The candidate should have experience with remote sensing datasets, structured programming, computing platforms and environments and experience/interests in land surface modeling, microwave remote sensing and/or land data assimilation. A good knowledge of earth science data formats is expected and experience in working with satellite datasets is needed. The candidate must also be knowledgeable in visualization/analysis packages and software such as python, GrADS, NCL, IDL, Matlab and GIS. The individual should have good communication (written and oral) skills. Experience in project coordination and writing and reviewing technical reports is also expected.

 

View additional details and the original posting here.