Algorithm Scientist, Earth Atmospheric Composition

7 days left

Jet Propulsion Laboratory
Pasadena, California (US)
Competitive with generous benefits
Mar 31, 2021
Apr 30, 2021
Education Level
Job Type
Relocation Cost

Spaceborne observations offer an ever-expanding wealth of opportunities for joint analyses of trace gas and aerosol measurements to provide constraints on attribution of  sources and sinks and to evaluate the linkages between carbon, air quality and climate. Continued advances in algorithm development across a range of measurement techniques will be required for advancing understanding of the Earth system through the use of existing spaceborne assets and the development of new measurement concepts. To learn more about Earth Science at JPL, please visit:

The Jet Propulsion Laboratory, California Institute of Technology invites applications for a staff Scientist in the Tropospheric Composition group in the Earth Science Section at JPL. In this position, you will be responsible for algorithm development and research activities in support of a diverse portfolio of projects. These will include the Orbiting Carbon Observatory (OCO-2/3) and the Multi-Angle Imaging Spectroradiometer (MISR) flight projects, as well as the Tropospheric Ozone and Precursors from Earth System Sounding (TROPESS) project, an effort to produce consistent long-term trace gas records from multiple spaceborne sensors including the Cross-Track Infrared Sounder (CrIS), the TROPOspheric Monitoring Instrument (TROPOMI), the Atmospheric Infrared Sounder (AIRS), and the Ozone Monitoring Instrument (OMI). A goal will be to move towards the use of more universal toolsets.

This position requires the following qualifications:

  • PhD in Atmospheric Science, Earth Sciences, Geophysics or a related technical field
  • Understanding of optimal estimation in the context of remote sensing
  • Experience with validation of remotely-sensed data products involving large datasets.
  • Demonstrated ability to write and publish results as a lead author
  • Ability to work effectively in a team environment
  • Strong programming skills

The following qualifications are preferred:

  • Experience with use of one or more radiative transfer models utilized for satellite retrieval algorithms within the spectral range between the UV and the shortwave infrared
  • Experience in development and testing of remote sensing algorithms for producing multi-year data records of atmospheric composition
  • Ability to communicate effectively with end data users and assist users in the proper use of remote sensing datasets
  • Evidence of an organized approach to prioritizing and tracking tasks
  • Experience in application of optimal estimation retrieval approaches to a variety of problems that includes aerosols, greenhouse gases, and reactive trace gases
  • Persistence, creativity and willingness to try new approaches to overcome complex problems
  • Ability to contribute to the scientific analysis of Level 2 datasets that result from algorithm development activities

To view the full description of this unique opportunity (including EEO statement and NASA requirements) and apply, please visit:  

Applications received by April 12, 2021 will receive full consideration.