Principal Research Scientist III, S3

Alabama

The University of Alabama in Huntsville

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Purpose of the Position:

We are currently seeking a Principal Research scientist to lead atmospheric/land surface modeling efforts, and provide numerical modeling expertise. Experience related to the assimilation of remote sensing products is required. The candidate for the position should have a broad knowledge of atmospheric and land surface processes as well as atmospheric and satellite-based datasets for integration into numerical modeling and machine learning applications. The incumbent will be expected to lead scientific analyses verifying machine learning and numerical models, and engage with the broader scientific and operational communities to assess their use within weather/water forecasting and disaster-related communities. 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.
Based at the NASA Marshall Space Flight Center in Huntsville, Alabama, the Earth Science Branch 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
● Perform research and lead weather and land surface modeling projects.
● Provide atmospheric, land surface, modeling, and scientific expertise to accomplish applied science studies in satellite remote sensing.
● Lead the development of new products/applications in support of NASA Earth Action.
● Lead the development of new proposals and scientific papers on numerical modeling, satellite remote sensing, and machine learning.
● Mentor early-career scientists to develop broader expertise in numerical modeling and machine learning within the Earth Science ● Branch and Earth System Science Center.
● Organization of and participation in workshops and meetings with occasional travel to major scientific conferences and meetings to present research results.

Minimum Requirements:

● Ph.D. degree in meteorology, atmospheric science, Earth science, or a closely related discipline, 3 - 3.5 years of full-time work experience, or an equivalent combination of education and years of experience.
● Ability to perform satellite and geophysical data processing, analysis, and visualization ● Ability to develop and deploy novel numerical and/or machine learning models.
● Experience with satellite remote sensing, numerical models, and working with large datasets.
● Strong programming background in Python and/or other programming languages.
● Understanding of remote sensing theory and satellite data applications.
● Hands-on experience with satellite data analysis, configuring regional forecast models, and analysis of forecast data demonstrated in peer-reviewed publications
● Experience with land surface remote sensing, data assimilation, and land surface modeling (e.g. SMAP, Noah-MP).
● Ability to communicate complex scientific concepts to a peer audience for the purposes of writing proposals and journal articles
● Excellent verbal and written communications skills.
● Willingness to work closely with others in a team environment.
● Participate in science workshops and conferences, as well as in publishing results.
● Must have a valid driver's license.
● Must be able to travel during flexible work hours, evenings, or weekends.

Desired Qualifications:

 

 

 

Published Salary (if available):

$137,380 - $144,505

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Tags: Data analysis Machine Learning ML models Python Research

Perks/benefits: Career development Conferences Flex hours

Region: North America
Country: United States

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