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# Postdoc: Millimeter-Wave Radar Systems, Remote Sensing, and Machine Learning

- **Company:** NASA Jet Propulsion Laboratory
- **Location:** La Cañada Flintridge, CA, United States
- **Salary:** $83,820.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Computer Simulation, Hardware Design, Python (Programming Language), MATLAB, Machine Learning, Radio-Frequency Identification, Data Processing, Information Technology, Data Analytics, Programming Languages
- **Published:** August 15, 2026
- **Apply:** https://citjpl.wd5.myworkdayjobs.com/Jobs/job/JPL-Campus/Postdoc--Millimeter-Wave-Radar-Systems--Remote-Sensing--and-Machine-Learning_R5922

## About the Role

* Ph.D. in Electrical Engineering, Atmospheric Science, Remote Sensing, Physics, Computer Science, Earth Science, or a closely related field.
 * Experience in radar remote sensing, RF systems, microwave instrumentation, or related experimental research.
 * Strong background in scientific programming using Python, MATLAB, or similar programming languages.
 * Experience analyzing large scientific datasets using statistical or computational methods.
 * Demonstrated record of peer-reviewed publications and excellent written and oral communication skills.

The appointee will carry out research in collaboration with JPL advisor, resulting in publications in the open literature.

## Description

JPL's RF Remote Sensing Systems and Technology Section is seeking a postdoc who will serve as a key bridge between radar hardware development and science applications, conducting research that advances end-to-end radar system performance and enables innovative approaches for cloud and precipitation observations. The position offers opportunities to develop and apply machine learning techniques to radar observations, improve calibration and retrieval methodologies, analyze large atmospheric datasets, and publish high-impact scientific results that advance the state of the art in microwave remote sensing.

Research Responsibilities

 * Conduct independent research on millimeter-wave radar systems for atmospheric remote sensing.
 * Develop and evaluate calibration techniques, retrieval algorithms, and advanced data analysis methods for cloud and precipitation observations.
 * Apply machine learning and statistical approaches to radar measurements and geophysical retrievals.
 * Support radar system characterization, testing, and performance evaluation.
 * Analyze large observational datasets and develop software tools for scientific data processing.
 * Publish research findings in peer-reviewed journals and present results at national and international conferences.
 * Collaborate with multidisciplinary teams spanning radar hardware development, remote sensing science, and data analytics.


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