Snow Parameter Scientist - Hyperspectral Remote Sensing & ML

ORAU; California; Presencial; USD 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading research organization is seeking candidates for the NASA Postdoctoral Program, focusing on advanced Earth Science research. The role involves utilizing hyperspectral imagery and machine learning tools to investigate snow-related processes. Candidates must possess a doctoral degree, and U.S. citizenship or lawful permanent residency is required. This unique opportunity allows fellows to contribute to NASA's missions while engaging in innovative research projects.

Formación

• Doctoral Degree required.
• Experience in using hyperspectral imagery.
• Knowledge of machine learning tools for snow parameters retrieval.

Responsabilidades

• Engage in ongoing NASA research projects.
• Focus on snow albedo research using machine learning.
• Develop airborne instruments for climate research.

Descripción del empleo

Organization

National Aeronautics and Space Administration (NASA)

Organization

National Aeronautics and Space Administration (NASA)

Reference Code

0125-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 (orau.org)

A complete application to the NASA Postdoctoral Program includes:

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

Application Deadline

11/1/2026 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:

We seek candidates that will use hyperspectral imagery in the visible and shortwave infrared; multi- or hyperspectral imagery in the thermal IR to answer basic questions in snow albedo to help improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine learning tools to do snow parameters retrievals. Current projects in our lab range from theoretical and experimental atmospheric science into radiative transfer, climate dynamics, remote sensing of the land surface, aerosols, clouds, and climate change. In-house capabilities include design and development of novel airborne instruments for aerosol, cloud and trace gases systems. For the past year, we hosted a community workshop on snow albedo, whose report will give additional background on a full range of snow albedo questions.

Field of Science: Earth Science

Advisors:

Charles Gatebe

[e-mail]

[phone]

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 is currently 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 [e-mail]

Point of Contact

Mikeala

Eligibility Requirements

• Degree: Doctoral Degree.