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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
model benchmarking, uncertainty quantification, value of information analyses and delivery of modeling results to guide critical applications and drive innovation and prioritization in Earth Observation
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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The Department of Mechanical Engineering at the University of Texas at Dallas is seeking highly qualified candidates for a Postdoctoral Researcher position in uncertainty quantification in experimental
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–classical algorithms or optimization methods Background in uncertainty quantification, reduced-order modeling, or machine learning Experience collaborating in interdisciplinary research teams A doctoral
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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-based analysis of structures - Experience with Monte Carlo simulation, FORM/SORM, or similar methods - Ability to work with experimental, monitoring, or inspection data for model updating and uncertainty
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candidate, with a deep interest in mathematical statistics, with a view towards developing new methods for uncertainty quantification. Starting date no later than October 1st, 2026. The fellowship period is
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, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation, quantification of uncertainty, and inference. To thrive in
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 17 hours ago
, Landsat, NASA products), and/or geospatial analysis is highly desirable. Familiarity with fire behavior modeling, uncertainty quantification, or explainable AI methods is a plus. Candidates should