Physical and AI Based Satellite Remote Sensing Algorithm-development and Applications

About the role

The Principal Component-based Radiative Transfer Model (PCRTM) group at NASA Langley Research Center seeks exceptional candidates to contribute to the development of AI-enhanced radiative transfer modeling, AI-based retrieval algorithm development, and novel applications of PCRTM retrieval products.

Responsibilities

• Further improve the computational speed of the PCRTM using advanced artificial intelligence techniques.
• Develop next-generation AI-based retrieval algorithms leveraging PCRTM's proven track record.
• Leverage existing PCRTM retrieval products and real satellite data to develop additional products for diverse applications.

Requirements

• Ph D. in physical science such as atmospheric science, physics, and computer science.
• Experience in analyzing satellite data and geospatial data are desired.
• Skills in AI, machine learning, deep learning, keras, Pytorch are preferred.

Qualifications

• A proven track record of scientific publications and a demonstrated ability to collaborate with others are highly desired.

Skills

• AI, machine learning, deep learning, keras, Pytorch.

Benefits

• One- to three-year fellowships.
• Unique research opportunities at NASA Centers, NASA Headquarters, or NASA-affiliated research institutes.

Pay

• Competitive salary commensurate with experience.

Schedule

• Full-time.

Contact

For questions about this opportunity, please email npp@orau.org.

Application Instructions

A complete application to the NASA Postdoctoral Program includes:

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

Please visit the NASA Postdoctoral Program website for more details: How to Apply | NASA Postdoctoral Program.