Postdoc: Bayesian Cloud Radar Remote Sensing

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

Benefits offered by this job

Health insurance

Dental insurance

Vision care

Wellbeing program

Retirement plans

Paid time off

Learning opportunities

Rideshare

Childcare assistance

Flexible schedule

Parental leave

Job summary

Jet Propulsion Laboratory in Pasadena, California, invites a postdoc to develop and apply advanced retrieval algorithms for cloud radar observations, leveraging Bayesian methods and multi‑frequency datasets. You will work with Python, contribute to field campaigns, and publish findings in peer‑reviewed journals.

The position emphasizes collaboration across disciplines, with opportunities to influence next‑generation remote sensing missions and NASA programs.

Qualifications

• Ph.D. in Atmospheric Science, Earth Science, Remote Sensing, or a closely related field.
• Research 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.
• Demonstrated record of peer‑reviewed scientific publications.

Responsibilities

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

Skills

Remote sensing

Python

Scientific data analysis

Large datasets

Peer‑reviewed publications

Education

PhD in Atmospheric Science

PhD in Earth Science

Job description

Jet Propulsion Laboratory in Pasadena, California, invites a postdoc to develop and apply advanced retrieval algorithms for cloud radar observations, leveraging Bayesian methods and multi‑frequency datasets. You will work with Python, contribute to field campaigns, and publish findings in peer‑reviewed journals.

The position emphasizes collaboration across disciplines, with opportunities to influence next‑generation remote sensing missions and NASA programs.