Research Scientist
Apply NowCompany: SAIC
Location: Greenbelt, MD 20770
Description:
Description
JOB DESCRIPTION:
SAIC is seeking an assistant research scientist to contribute to the analysis of hydrologic variables through the use of remote sensing and machine-learning approaches. The candidate is expected (1) to explore retrieval techniques and uncertainties associated with spaceborne measurements of snow depth and snow melt using networks of ground-based observations such as time lapse cameras and machine learning tools and (2) to help develop and assess a deep-learning model for land hydrology to map water availability. The candidate should have experience in cryospheric science, snow remote sensing and ground-based observation networks and be comfortable using machine learning approaches to analyze results. The individual will be expected to present results in peer-reviewed publications and scientific presentations. Experience in organizing meetings, project coordination, and writing and reviewing technical reports is also expected.
Qualifications
Experience with snow remote sensing retrievals and programming with Fortran, python and/or similar languages is required. Familiarity with spatial analysis and HPC environments is also highly desired.
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
JOB DESCRIPTION:
SAIC is seeking an assistant research scientist to contribute to the analysis of hydrologic variables through the use of remote sensing and machine-learning approaches. The candidate is expected (1) to explore retrieval techniques and uncertainties associated with spaceborne measurements of snow depth and snow melt using networks of ground-based observations such as time lapse cameras and machine learning tools and (2) to help develop and assess a deep-learning model for land hydrology to map water availability. The candidate should have experience in cryospheric science, snow remote sensing and ground-based observation networks and be comfortable using machine learning approaches to analyze results. The individual will be expected to present results in peer-reviewed publications and scientific presentations. Experience in organizing meetings, project coordination, and writing and reviewing technical reports is also expected.
Qualifications
Experience with snow remote sensing retrievals and programming with Fortran, python and/or similar languages is required. Familiarity with spatial analysis and HPC environments is also highly desired.
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.