Imaging Spectroscopy Data Analysis for the EMIT Mission

ORAU7 months ago
Pasadena, CA, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Organization

National Aeronautics and Space Administration (NASA)

Reference Code

0176-NPP-NOV26-JPL-EarthSci

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

A complete application to the NASA Postdoctoral Program includes:

  • Research proposal
  • Three letters of recommendation
  • Official doctoral transcript documents

Application Deadline

11/1/2026 6:00:59 PM Eastern Time Zone

Description

About the NASA Postdoctoral Program

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.

Description:

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

Email: david.r.thompson@jpl.nasa.gov

Phone: 412-983-4024

Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control.

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; and,
  • 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 Email: npp@orau.org

Point of Contact

Mikeala

Eligibility Requirements

  • Degree: Doctoral Degree.

Required Skills

Remote Sensing
Earth Science
Data Analysis
Bayesian Methods
Imaging Spectroscopy
Probabilistic Modeling
Data Calibration