Machine learning for transition modeling & aerodynamic optimization
NASA - National Aeronautics and Space Administration-
Job Type
Full Time -
Experience
0-2 year -
Salary
$120,000 - $190,000 / Year -
Location
Langley, McLean, VA, USA -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, SQL, Machine learning techniques, Statistics
Job Description
Project Description
Computational Fluid Dynamics (CFD) Vision 2030 has identified laminar-turbulent transition modeling as a critical area in CFD simulation capability that will remain a pacing item in the foreseeable future. Advances in machine learning (ML) provide an attractive option to develop accurate, efficient, and physics based models for boundary layer transition across the speed regime of aerospace vehicles, ranging from subsonic to hypersonic Mach numbers. Current work under NASA’s Transformational Tools and Technologies project is targeting (i) the application of ML to incorporate transition modeling into the existing CFD codes and (ii) the shape optimization of aerodynamic components to improve energy efficiency by delaying the onset of laminar-turbulent transition. The student will work with the NASA research group to model the linear amplification of instability waves that initiate the process of transition, specifically, by applying existing machine learning frameworks to model the database of instability characteristics developed by the NASA team. The internship tasks would depend on the student’s background and interests, but the internship tasks would benefit from a prior knowledge of data modeling and statistical learning techniques and the ability to apply neural network frameworks to a given problem. Exposure to convolutional and recurrent neural networks would be a plus. A strongly motivated student with an appropriate background will be able to contribute to a research publication. Regarding specific questions about this opportunity, the prospective applicants may communicate via email to m.m.choudhari@nasa.gov.
Academic Level
Undergraduate Sophomore;Undergraduate Junior;Undergraduate Senior;Graduate Master's;Graduate Doctoral
Preferred Major
Computer and Information Sciences - Computer/Information Technology Administration and Management;Engineering - Aerospace / Aeronautical and Astronautical Engineering;Engineering - General;Engineering - Mechanical;Engineering - Physics;Mathematics
Mission Directorate
Aeronautics Research Mission Directorate
Company Info.
NASA - National Aeronautics and Space AdministrationThe National Aeronautics and Space Administration is an independent agency of the U.S. federal government responsible for the civil space program, aeronautics research, and space research.
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IndustryAerospace
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No. of Employees17,373
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LocationWashington, D.C., USA
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Website
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Jobs Posted
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