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Remote Sensing SAR Specialist – Developer
GTSC Talent Solutions (a GTSC Company). Develop and maintain science code for producing flood mapping datasets from multiple SAR sensors, including Sentinel-1, RADARSAT Constellation Mission, RADARSAT-2, and NISAR .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining flood mapping datasets using SAR sensors, alongside proficiency in Python and machine learning algorithms. Capable of conducting independent research and collaborating effectively within a scientific team.
Highest-signal resume keywords
SAR Remote SensingFlood Inundation Detection AlgorithmsPython ProgrammingMachine Learning AlgorithmsQuantitative Research
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Flood MappingAlgorithm DevelopmentData AnalysisStatistical ModelingRemote Sensing Techniques
Soft Skills
Analytical SkillsDetail-OrientedTeam CollaborationIndependent Research
Tools & Technologies
PythonIDLPyTorchTensorFlowLinux
Industry Keywords
SAR SensorsSentinel-1RADARSAT Constellation MissionOceanographyRemote Sensing
Tech Stack
Tools & technologiesLinuxPythonPyTorchRemote SensingTensorflow
About the role
Key responsibilities & impact- Develop and maintain science code for producing flood mapping datasets from multiple SAR sensors, including Sentinel-1, RADARSAT Constellation Mission, RADARSAT-2, and NISAR
- Develop, implement, and improve flood inundation detection algorithms
- Evaluate flood inundation detection algorithm performance
- Conduct classification studies of river ice, including detecting ice jams, tracking ice movement and breakup, and assessing flooding risk
- Utilize SAR imagery to identify, outline, and characterize suspected oil slicks
- Assist with additional coastal, ocean, and cryosphere SAR applications
- Work with SAR scientists and software developers at SOCD under NOAA STAR
- Conduct independent research including problem definition, technical solution, coding, and publication
Requirements
What you’ll need- PhD or MS in a quantitative research field such as Remote Sensing, Oceanography, Physics, Mathematics, or Statistics
- Minimum of 5 years of professional experience
- Knowledge of SAR remote sensing, satellite and oceanographic data, systems, and analyses
- Proficiency with Python and IDL
- Experience with machine learning algorithms using PyTorch or TensorFlow desired; working knowledge of machine learning techniques sufficient
- Experience with netCDF4, HDF5, GeoTIFF, Xarray, and Zarr
- Experience with Linux operating systems and common tools
- Proven list of deliverables such as peer-reviewed publications, derived products, or software packages
- Willingness and ability to conduct independent research while being a team player
- Strong scientific analytical skills and detail-oriented working style
- Selected applicants subject to a government background investigation
- Position is for US persons only
Benefits
Comp & perks- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care for full-time employees working 30-plus hours per week
- Recognition awards for exceptional performance