Scientific Programmer for Remote Sensing Applications (GS26091008)
About The Position
Global Science & Technology, Inc (GST), a GTSC company, is seeking a Scientific Programmer for Remote Sensing Applications to support NOAA/NESDIS/STAR. The successful candidate will work with a group of Sea Surface Temperature (SST) scientists and software developers at the Satellite Oceanography and Climatology Division (SOCD) under the NOAA Center for Satellite Applications and Research (STAR). This is a long-term position, contingent upon performance. The individual will be responsible for the development and maintenance of science code for the production of SST datasets from multiple low earth orbit and geostationary sensors. This is a scientific position requiring a strong understanding of physical science, mathematics, and scientific computing.
Requirements
- PhD in a quantitative field of research (Physics, Math, Statistic, Remote Sensing, Oceanography, Meteorology) completed by date of hire. An MS with relevant experience working in a similar field will be considered.
- Knowledge of remote sensing, satellite & oceanographic data, systems, and analyses
- Proficiency with C++, Fortran, and Python programming languages
- Experience with multi-threaded programming tools such as openMP, MPI, and Cuda
- Experience with application of machine learning algorithm using PyTorch or TensorFlow
- Experience with data formats frequently used by the remote sensing community such as netCDF4, HDF5, HDF4, and Zarr.
- Familiarity with Linux operating systems and common tools such as SSH
- Proven list of deliverables (peer-reviewed publications, derived products, software packages, etc.)
- Willingness and ability to conduct independent research while being a team player.
- Strong scientific analytical skills with detail-oriented working style
Nice To Haves
- Familiarity with the Apache Airflow workflow management platform
Responsibilities
- Development and maintenance of science code for production of SST datasets from multiple low earth orbit and geostationary sensors (e.g., VIIRS, AHI, ABI, AVHRR, MODIS, METimage, FCI).
- Development and implementation of improved cloud masking, SST retrieval, and error characterization algorithms.
- Conduct independent research (problem definition, technical solution, coding, publication).
Benefits
- health
- life
- disability
- financial
- retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
