ORAU
Assimilation of Hyperspectral Infrared Radiance Observations in the GEOS
ORAU, Greenbelt, Maryland, us, 20771
Assimilation of Hyperspectral Infrared Radiance Observations in the GEOS
Organization : National Aeronautics and Space Administration (NASA)
Reference Code : 0282-NPP-MAR26-GSFC-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 includes: Research proposal
Three letters of recommendation
Official doctoral transcript documents
Application Deadline : 3/1/2026 6:00:59 PM Eastern Time Zone
Description 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. The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation system at the Global Modeling and Data Assimilation Office (GMAO) has been supporting NASA research and Earth Science missions. Among the millions of observations assimilated at each analysis cycle in the GEOS system, hyperspectral infrared satellite radiance data have been used extensively and have proven significant impact on reducing model forecast errors and constraining atmospheric states. This NPP opportunity invites proposals focused on the uses of IR radiance observations to improve atmospheric states and model forecasts, particularly with the following foci:
Assimilation of radiance data from new hyperspectral infrared instruments such as IASI‑NG, MTG‑IRS and enhancement of CrIS radiance assimilation algorithm are highly encouraged.
Use of machine learning methods to cope with model biases is particularly encouraged.
Field of Science: Earth Science
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 npp@orau.org
Qualifications An advanced university degree in Physics, Maths, Meteorology or related fields, ideally to PhD level, or equivalent proven research experience.
At least one-year relevant work experience.
Familiarity with satellite data analysis and data assimilation.
Strong computing skills are required, obtained in a Unix/Linux environment, and ideally including Fortran/C++ coding, as well as analysis tools such as Python, IDL.
Eligibility Requirements
Degree: Doctoral Degree.
Point of Contact Mikeala
#J-18808-Ljbffr
Reference Code : 0282-NPP-MAR26-GSFC-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 includes: Research proposal
Three letters of recommendation
Official doctoral transcript documents
Application Deadline : 3/1/2026 6:00:59 PM Eastern Time Zone
Description 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. The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation system at the Global Modeling and Data Assimilation Office (GMAO) has been supporting NASA research and Earth Science missions. Among the millions of observations assimilated at each analysis cycle in the GEOS system, hyperspectral infrared satellite radiance data have been used extensively and have proven significant impact on reducing model forecast errors and constraining atmospheric states. This NPP opportunity invites proposals focused on the uses of IR radiance observations to improve atmospheric states and model forecasts, particularly with the following foci:
Assimilation of radiance data from new hyperspectral infrared instruments such as IASI‑NG, MTG‑IRS and enhancement of CrIS radiance assimilation algorithm are highly encouraged.
Use of machine learning methods to cope with model biases is particularly encouraged.
Field of Science: Earth Science
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 npp@orau.org
Qualifications An advanced university degree in Physics, Maths, Meteorology or related fields, ideally to PhD level, or equivalent proven research experience.
At least one-year relevant work experience.
Familiarity with satellite data analysis and data assimilation.
Strong computing skills are required, obtained in a Unix/Linux environment, and ideally including Fortran/C++ coding, as well as analysis tools such as Python, IDL.
Eligibility Requirements
Degree: Doctoral Degree.
Point of Contact Mikeala
#J-18808-Ljbffr