ORAU
Understanding the drivers of time-evolving glacier motion from spaceborne observ
ORAU, Pasadena, California, United States, 91122
Understanding the drivers of time-evolving glacier motion from spaceborne observations
Organization:
National Aeronautics and Space Administration (NASA) — NASA Postdoctoral Program (NPP)
Reference Code:
0240-NPP-NOV25-JPL-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 (orau.org).
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 NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
Description:
One of the most consequential impacts of climate change is an increase in ice loss from glaciers and ice sheets. Such losses contribute to sea level rise. This project seeks to develop methodologies to invert for time-evolving basal friction from massive volumes of surface flow observations, applying machine learning and neural networks alongside simplified ice sheet models to advance understanding of ice sheet basal processes and their evolution through time. The successful candidate will work under the supervision of Dr. Alex Gardner (Sea Level and Ice Group) and will collaborate with researchers from across the lab and with collaborators at MIT, Brown University, University of Grenoble, and Caltech, depending on the candidate’s research goals.
Field of Science:
Earth Science
Advisors Alex Gardner Alex.S.Gardner@jpl.nasa.gov (818) 354-3477
Eligibility
Applications with citizens from Designated Countries will not be accepted 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 is open to: 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 1) a valid EAD card and 2) I-485 or I-589 forms in pending status.
Questions about this opportunity? Please email npp@orau.org
Qualifications Preferred Qualifications for the Ideal Applicant
PhD in Cryosphere Sciences or a related field
Strong background in machine learning and neural networks
Advanced understanding of remote sensing principles
Experience working with large remote sensing datasets
Strong programming skills with a preference for Python and Julia languages
Strong record of peer-reviewed publications
Demonstration of open science practices
Eligibility Requirements
Degree: Doctoral Degree
Seniority level
Internship
Employment type
Full-time
Job function
Management and Manufacturing
Government Administration
Point of Contact: Mikeala
#J-18808-Ljbffr
National Aeronautics and Space Administration (NASA) — NASA Postdoctoral Program (NPP)
Reference Code:
0240-NPP-NOV25-JPL-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 (orau.org).
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 NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.
Description:
One of the most consequential impacts of climate change is an increase in ice loss from glaciers and ice sheets. Such losses contribute to sea level rise. This project seeks to develop methodologies to invert for time-evolving basal friction from massive volumes of surface flow observations, applying machine learning and neural networks alongside simplified ice sheet models to advance understanding of ice sheet basal processes and their evolution through time. The successful candidate will work under the supervision of Dr. Alex Gardner (Sea Level and Ice Group) and will collaborate with researchers from across the lab and with collaborators at MIT, Brown University, University of Grenoble, and Caltech, depending on the candidate’s research goals.
Field of Science:
Earth Science
Advisors Alex Gardner Alex.S.Gardner@jpl.nasa.gov (818) 354-3477
Eligibility
Applications with citizens from Designated Countries will not be accepted 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 is open to: 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 1) a valid EAD card and 2) I-485 or I-589 forms in pending status.
Questions about this opportunity? Please email npp@orau.org
Qualifications Preferred Qualifications for the Ideal Applicant
PhD in Cryosphere Sciences or a related field
Strong background in machine learning and neural networks
Advanced understanding of remote sensing principles
Experience working with large remote sensing datasets
Strong programming skills with a preference for Python and Julia languages
Strong record of peer-reviewed publications
Demonstration of open science practices
Eligibility Requirements
Degree: Doctoral Degree
Seniority level
Internship
Employment type
Full-time
Job function
Management and Manufacturing
Government Administration
Point of Contact: Mikeala
#J-18808-Ljbffr