Imaging Spectroscopy Data Analysis for the EMIT Mission

About the role

The Imaging Spectroscopy Data Analysis for the EMIT Mission seeks a researcher to collaborate with the science team on developing and refining science data analyses. Potential areas of focus include probabilistic and Bayesian retrieval methods, surface, atmosphere, and instrument modeling, and high-fidelity instrument radiometric and spectral calibration.

Responsibilities

• Collaborate with the science team on developing and refining science data analyses for the EMIT mission.
• Contribute to the understanding of Earth's mineral dust source regions using imaging spectroscopy.
• Engage in interdisciplinary work involving mathematics, computer science, Earth science, remote sensing, physics, and imaging spectroscopy.

Requirements

• A completed doctoral degree in relevant fields such as Earth Science, Physics, Computer Science, or related disciplines.
• Strong background in mathematics and computer science.
• Experience with probabilistic and Bayesian retrieval methods, and high-fidelity instrument calibration.
• Interest in Earth surface science, remote sensing, and imaging spectroscopy.

Qualifications

• U.S. Citizenship, U.S. Lawful Permanent Resident (LPR), or eligibility for an Exchange Visitor J-1 visa status.
• Ability to obtain and maintain a security clearance.
• Experience with remote sensing and imaging spectroscopy.

Skills

• Proficiency in programming languages such as Python, MATLAB, or R.
• Experience with data analysis and modeling techniques.
• Knowledge of Earth science and remote sensing principles.

Benefits

• One to three-year fellowship with unique research opportunities at JPL.
• Competitive salary commensurate with experience.
• Opportunities for professional development and collaboration with leading scientists.

Pay

• Salary is competitive and commensurate with experience.

Schedule

• The position is full-time and based at JPL in Pasadena, California.

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

Application Instructions

Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org)

Contact Information

For questions about this opportunity, please email: npp@orau.org