Air quality prediction using Satellite data Intern

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    NASA - National Aeronautics and Space Administration

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    Actively hiringPaidSummer 2027Aviation and Aerospace Component Manufacturing
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    About the role#

    The Atmospheric Science Data Center at Langley Research Center is looking for a data science intern to join our team. You will focus on predicting air quality pollutants by applying neural networks and machine learning to satellite data. This role contributes to our ongoing efforts in forecasting variables such as NO2, HCHO, and O3.

    What you'll do#

    • Analyze geostationary satellite data from the TEMPO mission.
    • Build predictive models using machine learning algorithms and neural networks.
    • Explore and implement new neural network techniques.
    • Create a Jupyter Notebook to predict air quality and pollution variables using TEMPO data.

    What you'll need#

    • Enrollment in a degree program for Environmental Science, Engineering, Data Science, or a related field.
    • A solid understanding of environmental science concepts regarding air quality.
    • Strong programming skills in Python.
    • Experience with AI and machine learning frameworks such as TensorFlow or PyTorch.
    • US citizenship.

    Location & details#

    • This is a full-time, paid internship based in Hampton, Virginia.
    • The program runs from June 7, 2027, to August 13, 2027.
    • This position is on-site.

    About NASA - National Aeronautics and Space Administration

    The National Aeronautics and Space Administration is a government agency founded in 1958. It conducts research and development in aeronautics, space exploration, and science. The organization operates from various locations across the United States, including its headquarters in Washington, DC. With over 53,000 employees, it manages missions involving rockets, spacecraft, and Earth observation.

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