14 phd-agent-based-modelling Postdoctoral research jobs at National Aeronautics and Space Administration (NASA)

Integration of remote sensing data and improved physical process representation in NASA modeling systems

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago

. Description: The Hydrological Sciences Laboratory at NASA‘s Goddard Space Flight Center is seeking a post-doc candidate to conduct research on the integration of remote sensing data and models to improve

High Fidelity Modeling of Heating during Entry to the Outer Planets

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 16 days ago

is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational

NASA Foundation Models for Earth Science (Ecosystems, Biodiversity, Environmental Variable Downscaling)

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago

. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct research related to developing and applying foundation models, including the recently developed Prithvi WxC model. The fellow’s

New developments in polarimetric ground-based instrumentation for remote sensing and validation of aerosols and clouds

National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 6 days ago

-based instrumentation, such as those managed by AERONET (AErosol RObotic NETwork). AERONET is comprised of sun photometers and radiometers that retrieve the atmospheric state by accurately measuring

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 4 hours ago

observations and model-based data. Apply machine learning techniques to optimize factor weightings and reveal critical wildfire drivers. Validate models using multi-source wildfire data (MODIS, VIIRS, and NOAA

Remote Sensing from Space: NASA Biodiversity and Ecological Conservation Opportunity with the NASA Earth eXchange (NEX)

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 16 days ago

engineers who leverage NASA’s high-performance computing capabilities to develop new Earth science remote sensing and modeling products, generate long-term downscaled environmental projections, push

Data Science for Satellite Remote Sensing and Earth Science Research

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 27 days ago

learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX). Current NEX activities include exploiting

Instrument Design & Engineering for the Airborne Meteorological Measurement System

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago

status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in electrical engineering or a closely related field. Previous laboratory and/or field experience. Experience

Stellar and Exoplanet science with the Star-Planet Activity Research CubeSat (SPARCS)

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago

modeling. · Expertise in astronomical data reduction pipelines, high-reliability software systems, and detector calibration is strongly valued. · Excellent written and oral communication skills and the

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

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 16 days ago

from satellites, airborne measurements, ground-based instruments and socioeconomic datasets to investigate exposure to air pollutants and implications on human and ecosystem health. Specifically