Physics Informed Machine Learning for Space Power System Diagnostics and Control jobs in United States
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ORAU · 3 weeks ago

Physics Informed Machine Learning for Space Power System Diagnostics and Control

ORAU is part of the NASA Postdoctoral Program, which offers unique research opportunities for talented scientists. This role focuses on developing physics informed machine learning techniques to enhance fault diagnostics and control for space-based power systems.

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Culture & Values
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Responsibilities

Derive physics informed machine learning techniques to support fault diagnostics and control of space based power systems

Qualification

Machine Learning AlgorithmsMatlabPythonC/C++Linear AlgebraDifferential EquationsOptimizationEngineering BackgroundComputer Science BackgroundCommunication SkillsTeamwork Skills

Required

Background in engineering, computer science, or a similar field
Background in software tools such as Matlab, Python, and C/C++
Experience developing machine learning algorithms
Strong mathematical foundation specifically in linear algebra, differential equations, and optimization
Solid communication and teamwork skills
Degree: Doctoral Degree

Company

ORAU provides innovative scientific and technical solutions to advance research and education, protect public health and the environment and strengthen national security.

Funding

Current Stage
Late Stage

Leadership Team

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Andy Page
President /CEO
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Scott Miller
President and CEO, ORAU ConScientia
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Company data provided by crunchbase