Scientific Programmer for Remote Sensing Applications (GS26091008)

Global Science & Technology•College Park, MD

3d•Hybrid

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.

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.)
Strong scientific analytical skills with detail-oriented working style

Nice To Haves

Familiarity with the Apache Airflow workflow management platform is a plus

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) while being a team player.