6 optimization Postdoctoral research jobs at National Aeronautics and Space Administration (NASA)

Federated Communications Relays for Deep Space Exploration

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago

of swarms are the additional complexity in coordinating the multiple elements. Recent advancements in swarm and constellation optimization have made the concept more tractable, and ripe for exploration as a

Astrodynamics Applications of Artificial Intelligence

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago

-body or highly nonlinear systems.  The emphasis will be on how AI methods can both characterize and optimize trajectories within complex design spaces.  Within this context, contingency planning

Development of Inverse Heat Transfer Methods for Reconstructing Aerothermal Entry Environments

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

conditions is essential for designing more efficient TPS solutions (i.e., selecting optimal material systems, reducing design margins). Instrumentation, such as in-depth thermocouples and heat flux gauges, is

Uncertainty Quantification and Verification Planning for Space Systems

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago

quantification, Bayesian statistics, and multivariate optimization; must have excellent writing and communication skills. Prior space systems engineering and V&V experience, including planning and execution

Computational design for spacecraft applications

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

tools for spacecraft applications, specifically leveraging topology optimization and lattice structures. Building upon prior work at JPL, including the open-source lattice design tool UnitcellHub and an

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

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 1 day 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