Imaging Spectroscopy Data Analysis EMIT Mission

Imaging Spectroscopy Data Analysis for the EMIT Mission

Join to apply for the Imaging Spectroscopy Data Analysis for the EMIT Mission role at ORAU

Organization:
National Aeronautics and Space Administration (NASA)

Reference Code: 0176-NPP-MAR
26-JPL-Earth Sci

How To Apply:

All applications must be submitted in Zintellect. Please visit the NASA Postdoctoral Program website for application instructions and requirements:

How to Apply

| NASA Postdoctoral Program (orau.org)

Final date to receive applications: 3/1/2026 6:00:59 PM Eastern Time Zone

NASA's EMIT mission (anticipated launch 2022) will use imaging spectroscopy, also known as hyperspectral imaging, to measure the composition of the Earth's mineral dust source regions. It will measure Earth's solar-reflected energy in the UV through Shortwave Infrared at approximately 7 nm spectral resolution, similar to precursor instruments like Hyperion and AVIRIS.

We seek a researcher who will collaborate with our science team to develop and refine our science data analyses. These analyses could potentially include but are not limited to probabilistic and Bayesian retrieval methods for modeling surface, atmosphere, and instrument, and high-fidelity instrument radiometric and spectral calibration. The ideal candidate will have strong mathematics and computer science expertise, with an interest in Earth surface science, remote sensing, physics, and imaging spectroscopy.

JPL's imaging spectroscopy group includes a wide range of expertise ranging from Earth science to instrument design, optical layout, software and electronics, mechanical design, deployment, and science data analysis. Spectroscopy is a diverse, interdisciplinary field with an intellectually stimulating and fun stock of challenges to engage and overcome!

References:

• Carmon, N., Thompson,
  
  D. R., Bohn, N., Susiluoto, J., Turmon, M., Brodrick, P. G., ... & Gunson, M. (2020). Uncertainty quantification for a global imaging spectroscopy surface composition investigation. Remote Sensing of Environment, 251, 112038.
• Li, L., Mahowald, N. M., Miller, R. L., Pérez García-Pando,
  
  C., Klose, M., Hamilton,
  
  D. S., ... & Kalashnikova, O. (2020). Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty. Atmospheric Chemistry and Physics Discussions, 1-58.
• Thompson,
  
  D. R., Braverman,
  
  A., Brodrick, P. G., Candela,
  
  A., Carmon, N., Clark, R. N., ... & Mahowald, N. (2020). Quantifying uncertainty for remote spectroscopy of surface composition. Remote Sensing of Environment, 247, 111898.

Location:

Jet Propulsion Laboratory, Pasadena, California

Field of Science:
Earth Science

Advisors:
David R Thompson (david.r.thompsona.gov, )

Eligibility requirements:
Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States.

Eligibility is currently open to:

• U.S. Citizens
• U.S. Lawful Permanent Residents (LPR)
• Foreign Nationals eligible for an Exchange Visitor J-1 visa status
• Applicants for LPR, asylees, or refugees in the U.S. at the time of application with
  1) a valid EAD card and
  2) I-485 or I-589 forms in pending status

Questions about this opportunity? Please email npp

Point of Contact:
Mikeala

Eligibility Requirements:
Degree:
Doctoral Degree.

Seniority level:
Internship

Employment type:

Full-time

Job function:
Information Technology;
Industries:
Government Administration

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