Data Science for Satellite Remote Sensing and Earth Science Research

ORAU; California (MO); On-site; USD 65,000 - 75,000; Full time

Job summary

A prestigious research fellowship program offers unique opportunities for talented scientists to engage in NASA's Earth Science research. The post-doctoral fellow will apply machine learning and data science techniques to enhance remote sensing data analysis and scientific research. Candidates will collaborate on innovative NASA Earth eXchange (NEX) activities, contributing to critical advancements in space and Earth science. Applicants must hold a doctoral degree and meet U.S. citizenship requirements.

Qualifications

• Must have a Doctoral Degree.
• Experience in machine learning or data science techniques.
• Familiarity with remote sensing data analysis.

Responsibilities

• Conduct scientific research applying machine learning techniques.
• Improve remote sensing data products and analysis.
• Collaborate on NASA Earth eXchange (NEX) activities.

Skills

Machine Learning

Data Science

Remote Sensing

Scientific Research

Education

Doctoral Degree

Job description

Organization

National Aeronautics and Space Administration (NASA)

Reference Code

0104-NPP-NOV26-ARC-EarthSci

How to Apply

All applications must be submitted in Zintellect.

Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program

A complete application includes:

• Research proposal
• Three letters of recommendation
• Official doctoral transcript documents

Application Deadline

11/1/2026 6:00:59 PM Eastern Time Zone

Description

About the NASA Postdoctoral Program (NPP) offers unique research opportunities to highly talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX). Current NEX activities include exploiting global geostationary operational satellites for Earth science research and applications, synthesizing low-earth orbiting and geostationary satellite remote sensing for research and applications, modeling terrestrial and marine/aquatic systems, climate downscaling and resilience, and developing open science tools and software for science data processing. Candidates are not limited to proposals that align with these activities and are encouraged to contact the NEX team to discuss fellowship research topics.

Field of Science

Earth Science

Advisors

Ian Brosnan – [e-mail] – [phone]

Citizenship Restrictions

Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control.

Eligibility Requirements

• U.S. Citizens;
• U.S. Lawful Permanent Residents (LPR);
• Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and,
• Applicants for LPR, asylees, or refugees in the U.S. at the time of application with a valid EAD card and I-485 or I-589 forms in pending status.

Degree: Doctoral Degree.

Points of Contact

Questions: Please email [e-mail].

Point of Contact: Mikeala