24 machine-learning-phd positions at National Aeronautics and Space Administration (NASA)

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights

National Aeronautics and Space Administration (NASA) | United States | about 1 hour ago

wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights

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

wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk

Data Science for Satellite Remote Sensing and Earth Science Research

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

. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine

Ecosystem Structure and Function from the Fusion of Lidar, Hyperspectral, and Thermal Data

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

. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Remote sensing data provide essential information on the spatial and temporal variability in vegetation

Exobiology: Living Systems Science

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago

machine-learning applications for astrobiology. Areas of investigation include: - Living systems detection and characterization - Mars sample return science and tools. - Standards of evidence in life

Data Science for Satellite Remote Sensing and Earth Science Research

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

. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine

CLARREO Pathfinder Science

National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 2 months ago

intercalibration studies, and enhancing and advancing intercalibration algorithm approaches and hyperspectral analysis with machine learning. We are also interested in studies to evaluate decadal time-variant

Remote sensing applications for mapping and monitoring global forest carbon stock and dynamics

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago

research using various statistical and machine learning approaches to develop regional and global products and improve our understanding of the drivers of carbon stock changes across a variety of ecosystems

Investigating Air Quality Challenges and Impacts in California’s Central Valley

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

status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in atmospheric science, environmental engineering, public health, data science, or relevant disciplines. Experience

High Fidelity Modeling of Heating during Entry to the Outer Planets

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

@orau.org Qualifications The successful applicant should have a PhD in science or engineering discipline with experience in running reacting fluid dynamics simulations. Experience with high fidelity, state