Global Science & Technology, Inc.
  • College Park, MD, USA
  • Full Time

Global Science & Technology, Inc (GST), a growing scientific and high technology company, is seeking a Satellite Sea Surface Salinity Applications Scientist to support NOAA Center for Satellite Applications and Research (STAR).

This position is located in College Park, but is temporarily approved for telework due to Covid-19. A hybrid model of onsite and telework each week will likely be put in place in the coming months.

Position Summary:

The individual in this position will be a member of the satellite Sea-surface Salinity (SSS) Science Team, responsible for the development of SSS applications employing observations from ESA's SMOS mission and NASA's SMAP mission

Primary Duties:

  • Develop an approach for reconciling high-latitude satellite skin salinity observations with near-surface bulk salinity to enable assimilation of high-latitude satellite SSS observations
  • Exploring/develop assimilation of satellite altimetry observations for improved model representation of thermohaline circulation and ocean heat content
  • Characterize the freeze/melt temperature for sea ice as a direct function of ocean surface water salinity; and supporting marine ecosystem assessments and modeling efforts through the exploitation of satellite SSS observations

Required Education/Experience/Skills:

  • Ph.D. in a quantitative field of research (Physics, Math, Statistics, Remote Sensing, Oceanography, Meteorology) completed by date of hire
  • Solid quantitative educational background (fundamental Physics, Math, Statistics)
  • Strong scientific analytical skills with detail-oriented working style
  • Proficiency with computational programming (Fortran, MATLAB, IDL, Python, etc.) and scripting (Unix/Linux)
  • Proven list of deliverables (peer-reviewed publications, derived products, etc.)
  • Willingness and ability to conduct independent research (from problem definition to technical solution to documentation in peer-reviewed literature) while being a team player

Desired Qualifications:

  • Experience with SSS retrieval algorithms and SSS data sets;
  • Experience with assessing salinity impacts and dependencies in geophysical processes and ecological systems, as well as SSS utility as a predictor for Earth-system processes;
  • Familiarity with Artificial Intelligence/Machine Learning techniques;
  • Proficiency with global data handling and quality control procedures;
  • Familiarity with radiative transfer modeling, particularly for the L band.

Selected applicants will be subject to a government background investigation.

GST offers competitive salaries; vacation, sick, and holiday leave; major medical, dental, life, long-term and short-term disability insurance; 401K retirement plan; tuition assistance; and opportunities for employee career growth and development.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, disability, veterans' status, sexual orientation and gender identity. GST is an Equal Opportunity/Affirmative Action Employer.

Global Science & Technology, Inc.
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