New Algorithms and Science Data Processing for Hyperspectral Imagery

About the role

NASA is seeking a post-doctoral fellow to assist with implementing science algorithms for processing imaging spectroscopy data from its raw state (Level 0) through to global gridded data products (Level 3).

Responsibilities

• Adapting automated science processing operations developed for the Kepler and TESS exoplanet missions for the SBG precursor activity.
• Developing research algorithms suitable for use with SBG-like datasets.
• Contribute to the development of the Surface Biology and Geology (SBG) observing system.

Requirements

• A doctoral degree in Earth Science or a related field.
• Experience with imaging spectroscopy data processing.
• Strong programming skills in relevant languages.
• Ability to work independently and as part of a team.

Qualifications

• Passionate about Earth Science and space exploration.
• Interest in developing and applying advanced data processing techniques.
• Excellent communication and collaboration skills.

Skills

• Programming skills in Python, MATLAB, or similar languages.
• Experience with image processing and analysis software.
• Knowledge of data processing workflows and pipelines.

Benefits

• Opportunity to contribute to a high-visibility Earth Science mission early in its formulation.
• Unique research opportunities at NASA Ames Research Center.
• Competitive salary and benefits package.

Pay

The pay range for this position is $115,000 - $135,000 annually.

Schedule

The fellowship is a one- to three-year commitment.