Remote SAR Specialist & Flood-Mapping Developer

Gtscts; College Park (MD); On-site; USD 90,000 - 120,000; Full time

Job summary

GTSC and its Global Sciences and Technology (GST) unit seek a SAR specialist and developer to support NOAA/NESDIS/STAR, based in College Park, MD. The successful candidate will work with SAR scientists and software developers to produce flood maps from Sentinel-1, RADARSAT and NISAR data, developing and maintaining science code for production datasets.

Required expertise includes Python and IDL, experience with netCDF4/HDF5/GeoTIFF, Linux, and ML techniques; a PhD or MS with 5+ years’ experience

Qualifications

• PhD or MS with a minimum of 5 years of professional experience in a quantitative field such as Remote Sensing, Oceanography, Physics, Mathematics, or Statistics.
• Knowledge of SAR remote sensing, satellite & oceanographic data, systems, and analyses.
• Proficiency with Python and IDL programming languages.
• Experience with machine learning methods (PyTorch or TensorFlow) is desirable but not required.
• Experience with data formats used in remote sensing (netCDF4, HDF5, GeoTIFF, Xarray, Zarr).
• Experience with Linux and common tools.
• Proven deliverables (publications, derived products, software).
• Willingness to conduct independent research while being a team player.

Responsibilities

• Develop and maintain science code for flood mapping datasets from SAR sensors (e.g., Sentinel-1, RADARSAT Constellation, RADARSAT-2, NISAR).
• Develop, implement, and improve flood inundation detection algorithms and evaluate their performance.
• Collaborate with SAR scientists and software developers in SOCD under NOAA STAR.

Skills

Python

IDL

Machine learning (PyTorch/TF)

Scientific computing

Education

MS/PhD in Remote Sensing/Oceanography/Physics/Mathematics/Statistics

Tools

netCDF4

HDF5

GeoTIFF

Xarray

Zarr

Linux

Job description

GTSC and its Global Sciences and Technology (GST) unit seek a SAR specialist and developer to support NOAA/NESDIS/STAR, based in College Park, MD. The successful candidate will work with SAR scientists and software developers to produce flood maps from Sentinel-1, RADARSAT and NISAR data, developing and maintaining science code for production datasets.

Required expertise includes Python and IDL, experience with netCDF4/HDF5/GeoTIFF, Linux, and ML techniques; a PhD or MS with 5+ years’ experience