Postdoc: Satellite Urban CO2 & Pollutant Emissions Research

NASA Jet Propulsion Laboratory (JPL); United States; On-site; USD 75,000 - 92,000; Full time

Benefits offered by this job

Health, dental, vision plans

Paid time off

Rideshare program

Flexible schedule

Parental leave

Job summary

NASA Jet Propulsion Laboratory (JPL) in Pasadena, California, invites applications for a postdoctoral researcher to investigate urban fossil fuel CO₂ and air pollutant emissions using satellite observations and inventories. The work spans city and sub-city scales, linking emissions to development and mitigation strategies.

The role combines satellite CO₂ estimates with TEMPO/GEMS/TROPOMI data, employing JPL's MOMO-Chem and CMS-Flux.

Qualifications

• PhD in atmospheric sciences or related field.
• Demonstrated knowledge of atmospheric composition.
• Experience with Python or similar languages.
• Excellent oral and written communication skills.
• Team collaboration experience.
• Strong interpersonal skills.
• Peer‑reviewed publications in atmospheric composition modelling or Earth system research.

Responsibilities

• Investigate urban fossil fuel CO₂ and air pollutant emissions using satellite observations and inventories.
• Analyze spatial/temporal emission patterns across cities worldwide.
• Compare satellite estimates with emission inventories and apply MEKC framework.
• Develop reproducible analysis methods and publish findings in peer‑reviewed journals.

Skills

Python

Communication skills

Teamwork

Interpersonal skills

Publications

Education

PhD in Atmospheric Sciences/Physics/Geophysics/Environmental Sciences

Job description

NASA Jet Propulsion Laboratory (JPL) in Pasadena, California, invites applications for a postdoctoral researcher to investigate urban fossil fuel CO₂ and air pollutant emissions using satellite observations and inventories. The work spans city and sub-city scales, linking emissions to development and mitigation strategies.

The role combines satellite CO₂ estimates with TEMPO/GEMS/TROPOMI data, employing JPL's MOMO-Chem and CMS-Flux.