Characterization of ionospheric dynamics through application of machine learning techniques to GPS measurements

This NASA Postdoctoral Program fellowship opportunity focuses on studying Earth's upper atmosphere and ionosphere dynamics in response to geomagnetic storms and solar driving. The research involves analyzing Total Electron Content (TEC) from GPS measurements using network analysis and machine learning techniques to better understand ionospheric dynamics during storms compared to quiet times. The position seeks highly motivated candidates to participate in research on ionospheric dynamics and data analysis, particularly those who will analyze satellite and ground-based observations to improve space weather understanding. Knowledge of basic signal processing techniques and system science approaches are encouraged. The NASA Postdoctoral Program offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at NASA Centers, NASA Headquarters, or NASA-affiliated research institutes. These one- to three-year fellowships are competitive and designed to advance NASA's missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.