Postdoc: Advanced Millimeter-Wave Cloud Radar Remote Sensing

NASA Jet Propulsion Laboratory; Pasadena (CA); On-site; USD 75,000 - 92,000; Full time

Benefits offered by this job

Health

Dental

Vision

Wellbeing

Retirement plans

Paid time off

Learning

Rideshare

Childcare

Flexible schedule

Parental leave

Job summary

NASA Jet Propulsion Laboratory in Pasadena, CA invites applications for a postdoctoral researcher to develop and apply advanced retrieval algorithms to improve understanding of cloud microphysical properties using ground-based, airborne, and future spaceborne radar observations.

The candidate will analyze field campaign observations and contribute to the scientific foundation for future multi-frequency cloud radar missions, collaborating with JPL advisors and publishing in peer‑reviewed journals.

Qualifications

• Ph.D. in Atmospheric Science, Earth Science, Remote Sensing, or a closely related field.
• Experience in atmospheric physics, cloud microphysics, or radar remote sensing.
• Experience developing or applying remote sensing retrieval algorithms.
• Proficiency in Python and scientific data analysis.
• Experience working with large observational or model datasets.
• Peer‑reviewed publications record.

Responsibilities

• Conduct research in cloud microphysics and atmospheric remote sensing.
• Develop and implement retrieval algorithms for millimeter-wave cloud radar observations using Bayesian methods.
• Analyze multi-frequency cloud radar datasets.
• Process, analyze, and interpret large atmospheric data using Python and scientific computing tools.
• Publish research results in peer‑reviewed journals and present at conferences.
• Collaborate with multidisciplinary teams to advance radar remote sensing technologies.

Skills

Python

Remote Sensing

Atmospheric Science

Cloud Microphysics

Bayesian Inverse Methods

Education

PhD in Atmospheric Science or related field

Job description

NASA Jet Propulsion Laboratory in Pasadena, CA invites applications for a postdoctoral researcher to develop and apply advanced retrieval algorithms to improve understanding of cloud microphysical properties using ground-based, airborne, and future spaceborne radar observations.

The candidate will analyze field campaign observations and contribute to the scientific foundation for future multi-frequency cloud radar missions, collaborating with JPL advisors and publishing in peer‑reviewed journals.