Postdoc: Deriving Stratospheric Aerosols from Limb-Sensor Data

ORAU; Greenbelt (MD); On-site; USD 70,000 - 100,000; Full time

Job summary

NASA is seeking a highly motivated postdoctoral fellow to develop advanced algorithms for deriving aerosol properties from satellite limb measurements. The role focuses on OMPS Limb Profiler data from Suomi NPP/JPSS missions and integrating multi-source observations to improve retrievals.

The selected candidate will work with NASA centers and advisors to address stratospheric aerosol dynamics and participate in STRIVE-related activities, contributing to space science objectives in Earth

Qualifications

• Ph.D. in Meteorology, Physics, Mathematics, or Computer Science.
• Advanced programming skills with experience handling and analyzing big data (e.g., Python).
• Previous experience working with satellite measurements is highly desirable.

Responsibilities

• Develop advanced algorithms to derive aerosol properties from satellite limb sensors.
• Analyze aerosol observations by integrating information from multiple sources.
• Collaborate with NASA centers and advisors to advance OMPS LP retrievals and STRIVE-related goals.

Skills

Big data analysis

Python programming

Satellite data experience

Education

Ph.D. in STEM

Tools

Python

Job description

NASA is seeking a highly motivated postdoctoral fellow to develop advanced algorithms for deriving aerosol properties from satellite limb measurements. The role focuses on OMPS Limb Profiler data from Suomi NPP/JPSS missions and integrating multi-source observations to improve retrievals.

The selected candidate will work with NASA centers and advisors to address stratospheric aerosol dynamics and participate in STRIVE-related activities, contributing to space science objectives in Earth