Science Systems and Applications, Inc. - Science and Technology with Passion


SSAI is an Equal Employment Opportunity and Affirmative Action Employer. EEO/AA-Minorities/Females/Veterans/Individuals with Disabilities

Masters Level Research Scientist to Support Remote Sensing of Aquatic Environments
Reference #:21-3049
Open Date:3/16/2021
Location:Greenbelt, MD
US Citizenship Required:No
Job Description:
Science Systems and Applications, Inc. (SSAI) is seeking applications for a full-time, Masters-level Remote Sensing scientist to join our productive team of scientists working on various NASA grant-funded projects at NASA's Goddard Space Flight Center (GSFC). Our research focus is on algorithm development and validation for generating products from current and future national or international multispectral and hyperspectral missions in aquatic ecosystems. The applicant should have a strong background (education and experience) in at least one of the following areas: Aquatic/terrestrial/atmospheric remote sensing, data/image analysis, image processing, optics, ocean/aquatic sciences/biology, or hydrological modeling. Demonstrated skill in code development for data analysis and processing is required. The incumbent is expected to have excellent written and verbal communication skills and be willing to produce and lead high-quality peer-reviewed publications.

The position is nominally located in the GSFC area, but telecommuting is an option for the right candidate.

The applicant must be able to quickly obtain eligibility to work at NASA's Goddard Space Flight Center.
Required Qualifications:
  • MS degree in Physics/Engineering/Oceanography/Hydrology/Geography and at least 2 years of relevant experience or an equivalent combination of education and experience.
  • Experience should include at least 2 years of experience in at least 1 of the following:

  Aquatic/terrestrial/atmospheric remote sensing
Data/image analysis
Image processing
Ocean/aquatic sciences/biology
Hydrological modeling
Programming: Python, R, or C
Platforms: Linux and/or High-performancecomputing (HPC) systems.

Desired Qualifications:
  • Experience with machine learning is highly desirable
  • Experience at GSFC is desirable