Artificial Intelligence for Planetary Science Discovery in Legacy Data

Artificial Intelligence for Planetary Science Discovery in Legacy Data

Join to apply for the Artificial Intelligence for Planetary Science Discovery in Legacy Data role at ORAU

Artificial Intelligence for Planetary Science Discovery in Legacy Data

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Join to apply for the Artificial Intelligence for Planetary Science Discovery in Legacy Data role at ORAU

Organization

National Aeronautics and Space Administration (NASA)

Organization

National Aeronautics and Space Administration (NASA)

Reference Code

0213-NPP-NOV25-JPL-PlanetSci

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 to the NASA Postdoctoral Program includes :

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

Application Deadline

11 / 1 / 2025 6 : 00 : 59 PM Eastern Time Zone

Description

About the NASA Postdoctoral Program

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 one- to three-year fellowships are competitive and are designed to advance NASAs missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

Description :

Planetary missions have returned enormous amounts of surface imagery during the past decades of space exploration, most of which remains unused by planetary scientists due to the inability to manually, exhaustively search for even a single scientifically relevant target feature. This has significant, negative impact on planetary science understanding, surface characterization, and models of active surface processes. Artificial Intelligence (AI) has the potential to collaboratively focus researchers on candidate regions of interest that otherwise would be obscured by sheer dataset scale, significantly improving extracted science yield and accelerating science discovery in a manner broadly applicable to many planetary bodies.

This project seeks to combine traditional planetary science and recent advances in computer science to maximize the science return of past space exploration missions.

The candidate will explore cutting edge AI / ML methods to automate science discovery and focus of attention in planetary image datasets. The science targets selected for discovery should be motivated by current, relevant questions that advance our understanding of planet surface dynamics and evolution.

Candidates that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication experience in the planetary science literature will be more suitable for this research opportunity. Additional benefit would be provided by past experience with planetary image datasets, data science tools, Geographic Information Software, as well as an established network of expert contacts within planetary and computer science.

Location :

Jet Propulsion Laboratory

Pasadena, California

Field of Science : Planetary Science

Advisors : Lukas Mandrake

lukas.mandrake@

(818) 354-1705

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 : .

Eligibility is currently open to :

Questions about this opportunity? Please email npp@

Point of Contact

Mikeala

Eligibility Requirements

Seniority level

Seniority level

Internship

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Government Administration

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