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applied to Earth observation foundation models. The participant will analyze models such as NASA’s Prithvi, alongside other relevant foundation-model architectures and fine-tuning strategies. For initial
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envision constructing an ISSM-specialized geospatial foundation layer built upon the NASA/IBM PRIVHVI Foundation Model, fine-tuned to Cryosphere, Solid Earth, and Sea Level applications. This layer will
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foundation models to move beyond static forest mapping toward temporally resolved reconstruction and prediction of forest-state transitions. The project will leverage Prithvi-EO to extract spectral
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analysis and forecast utilizing the JCSDA-Joint Effort for Data assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated
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Organization National Science Foundation (NSF) Reference Code NSF-NCSES-2026-0004 How to Apply Click on Apply now to start your application. Application Deadline 10/12/2026 11:59:59 PM Eastern Time
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at the time of application. Be employed as faculty at a Tribal College and University (TCU) included in this list: https://orise.orau.gov/zintellect-files/files/list-of-tcus.xlsx , and provide a
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-WMRD-300028 Description About the Research CCDC ARL Center for Agile Materials Manufacturing Science (CAMMS, https://www.arl.army.mil
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atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https://science.gsfc.nasa.gov/earth/mesoscale for more information about the
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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
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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