Job description

Purpose of the Position: We are currently seeking a Research Scientist to provide support to NASA SPoRT science and application activities related to leading machine learning activities in one or more of the following thematic areas: Air Quality/TEMPO, Wildland Fire, and Satellite Remote Sensing. The position will be located at the National Space Science & Technology Center in Huntsville, Alabama, and will support the scientific development and application of satellite remote sensing products. SPoRT is a NASA project to transition unique observations and research capabilities to the operational weather community to improve short-term forecasts on a regional scale. Based at the NASA Marshall Space Flight Center in Huntsville, Alabama, SPoRT is collaborating with the University of Alabama in Huntsville to provide direct science support along with science and technical coordination in the areas of weather, climate, air quality, natural disasters, satellite remote sensing, and data science and applications. Duties/Responsibilities • Lead machine learning efforts in one or more of the following areas: air quality, wildland fire, and satellite remote sensing. • Provide scientific expertise to facilitate applied science studies in satellite remote sensing, health & air quality, or wildland fire. • Design higher-level value-added air quality products for applied science studies and manage data distribution to science investigators. • Develop synergistic products from TEMPO, ABI, and GLM data to enhance science applications, with special attention to wildfire smoke and lightning NOx. • Lead the development of new proposals and scientific papers on machine learning, satellite remote sensing, and numerical modeling. • Actively participate in and support SPoRT stakeholders through workshops, meetings, scientific conferences, and presentations of research results, including occasional travel to engage collaborators and end-users. Minimum Requirements: • Master’s of Science in Environmental Science, Meteorology, Atmospheric Science, Earth Science, Environmental Public Health, or a closely related discipline • Ability to perform satellite and geophysical data processing, analysis, and visualization (preferred experience would include the following sensors: TEMPO, MODIS, VIIRS, OMI, ABI, TROPOMI, EPIC) • Must have a strong programming background in Python and/or other programming languages. • Understanding of remote sensing theory, satellite data applications, air pollution chemistry, and meteorological principles • Must have excellent verbal and written communication skills • Willingness to work closely with others in a team environment • Desire to participate in science workshops and conferences, as well as in publishing results • Experience with machine learning techniques with satellite and/or model datasets and working with large datasets is desirable but not required for the position • U.S. citizenship is required Desired Qualifications: • PhD is preferred Published Salary (if available): $82,884 - $105,458

Requirements

Must-haves

Duties/Responsibilities
Lead machine learning efforts in one or more of the following areas: air quality, wildland fire, and satellite remote sensing.
Provide scientific expertise to facilitate applied science studies in satellite remote sensing, health & air quality, or wildland fire.
Design higher-level value-added air quality products for applied science studies and manage data distribution to science investigators.
Develop synergistic products from TEMPO, ABI, and GLM data to enhance science applications, with special attention to wildfire smoke and lightning NOx.
Lead the development of new proposals and scientific papers on machine learning, satellite remote sensing, and numerical modeling.
Actively participate in and support SPoRT stakeholders through workshops, meetings, scientific conferences, and presentations of research results, including occasional travel to engage collaborators and end-users.
Master’s of Science in Environmental Science, Meteorology, Atmospheric Science, Earth Science, Environmental Public Health, or a closely related discipline
Must have a strong programming background in Python and/or other programming languages.
Understanding of remote sensing theory, satellite data applications, air pollution chemistry, and meteorological principles
Must have excellent verbal and written communication skills
Willingness to work closely with others in a team environment
Desire to participate in science workshops and conferences, as well as in publishing results
Experience with machine learning techniques with satellite and/or model datasets and working with large datasets is desirable but not required for the position
U.S. citizenship is required
$82,884 - $105,458

Nice-to-haves

Ability to perform satellite and geophysical data processing, analysis, and visualization (preferred experience would include the following sensors: TEMPO, MODIS, VIIRS, OMI, ABI, TROPOMI, EPIC)
PhD is preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

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