NASA Postdoctoral Program - Integrating Satellite, Surface, and Model Data into Machine Learning Algorithms

The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA's missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology. This specific opportunity focuses on developing tools using commercial cloud computing services to accelerate the use of earth observations in particulate matter air quality research and applications. The project will generate high-quality training and validation datasets for machine learning algorithms that will benefit current and future satellite missions (TEMPO, MAIA). The research involves taking a fleet of satellites, ground-based, and model output, fusing them at appropriate spatial and temporal scales and enabling science and decision making in the cloud using new machine learning techniques. This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD) and is focused on integrating satellite observations from sensors such as MODISs, VIIRSs, OMI, MISR, ABIs, AHI, and ground measurement records such as AirNow, AERONET. The goal is to develop science on the cloud and improve and expand the use of NASA satellite data to a broader community.