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engineering or related fields. The ideal candidates will be rising sophomores or juniors with experience using Python or Artificial Intelligence (including Robotics, Computer Vision, Human Language Processing
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://science.nasa.gov/earth-science/decadal-sbg) **Details on NASA data processing levels can be found at: https://earthdata.nasa.gov/collaborate/open-data-services-and-software/data-information-policy/data-levels
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. Description: Research opportunities exist within the applied Earth sciences and applications of Earth remote sensing to employ data from the upcoming NISAR mission (https://nisar.jpl.nasa.gov/) to develop and
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of regolith, Icarus,343, 113688, DOI: https://doi.org/10.1016/j.icarus.2020.113688 Location: Jet Propulsion Laboratory Pasadena, California Field of Science:Planetary Science Advisors: Leslie Tamppari
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experience in the planetary science literature will be more suitable for this research opportunity. Additional benefit would be provided by past experience with planetary image datasets, data science tools
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be visually identified. Modern signal processing methods and software from audio engineering traditionally applied to music can also be applied to spacecraft time series data. To assess the fundamental
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doctoral fellow with the necessary data science skills to formulate a systematic approach to extraction of science in the face of extremely high data rates or in large complex archives. Examples of areas
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. 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
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”, Photogrammetric Engineering & Remote Sensing”, Vol. 72, No. 3, March 2006, pp. 299–311. M. Simard, G. DeGrandi, S. Saatchi, P. Mayaux, “Mapping tropical coastal vegetation using JERS-1 and ERS-1 radar data with a
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. 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