7 model-predictive-control Postdoctoral positions at National Aeronautics and Space Administration (NASA)

Predicting Precipitation-Driven Disruptions to Critical Infrastructure

National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 9 hours ago

traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis

Studying Biosphere Drivers, Change, and Impacts in Terrestrial and Coastal Ecosystems Using Remote Sensing Data and Modeling

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago

. Description: Biospheric modeling --- This postdoctoral position focuses on advancing our understanding of Earth's biosphere and complex feedbacks to weather and climate through the innovative integration

Prithvi-EO Foundation Model for Forest Structure, Biomass, and Fire-Relevant Metrics

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago

carbon-cycle modeling. The project will build a unified modeling framework that uses GEDI LiDAR and Landsat/HLS data to train deep learning models capable of predicting forest structure variables such as

Effect of Wildfires on Ocean Biogeochemistry

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago

profiling (BGC-Argo) floats (https://www.nature.com/articles/s41586-021-03805-8). The NASA Ocean Biogeochemical Model (NOBM) has recently been coupled to the Subseasonal to Seasonal Prediction Version 3 (S2S

Space Science: Exoplanet Science and Technology Development

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago

control, and coronagraph system modeling. Location: Ames Research Center Moffet Field, California Field of Science:Planetary Science Advisors: Natasha Batalha natasha.e.batalha@nasa.gov 650-604-2813 Ruslan

Radiative Transfer and Climate Model

National Aeronautics and Space Administration (NASA) | New York City, New York | United States | 4 days ago

system. Climate models are important tools for improving our understanding and prediction of atmosphere, ocean, and climate behavior. We seek candidates with an interest in advancement of radiative

Earth Science: frozen hydrometeor remote sensing; ML/AI application to retrieve and track clouds; atmosphere coupling

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago

to the weather prediction and climate projections. This is mainly due to our lack of understanding of cloud/snow ice microphysics and over-simplified representation in models. On a broader sense, although weather