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University of Arizona

Postdoc in DNS of Boundary-Layer Transition and Control at the University of Arizona University of Arizona in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position; funding details are not stated in the post.

Deadline

Aug 1, 2027

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Country

United States

University

University of Arizona

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Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Mathematics
Stability Analysis
Software Development
High Performance Computing
Supersonic Flow
Physics

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The University of Arizona is recruiting a full-time Postdoctoral Research Associate I in the Aerospace and Mechanical Engineering Department at the Tucson Campus, United States. The postdoctoral researcher will work under the supervision of Professor Hermann Fasel. The research focuses on high-fidelity Direct Numerical Simulations (DNS) of boundary-layer stability and laminar-turbulent transition at hypersonic speeds from Mach 4 to 14. The project will examine physical mechanisms during the line...

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About this position

Postdoctoral position at the University of Arizona in DNS of boundary-layer transition and control.

The project uses high-fidelity Direct Numerical Simulations (DNS) to study stability, laminar-turbulent transition, and breakdown mechanisms in hypersonic boundary layers at M = 4 to 14. A second focus is the investigation of promising flow control methods using DNS. The work is centered on fundamental fluid dynamics, aerodynamics, and computational fluid dynamics, with opportunities to contribute to code development as well as flow-physics research.

Validated in-house linear stability and DNS codes are available, and candidates with an interest in improving or extending the code base are encouraged to apply. Useful background includes high-performance computing, programming experience (e.g. C, Python, Fortran), and familiarity with CFD tools such as OpenFOAM, SU2, Fluent, or US3D.

The position is open to international applicants. The closing date is 2027-08-01. To apply, contact Hermann Fasel by email and mention CFD Jobs Database record #20137.

Funding details

Postdoctoral position; funding details are not stated in the post.

What's required

Experience with high-performance computing is desired. Coding experience in languages such as C, Python, or Fortran is preferred. Interest in flow physics and high-speed flows is requested. Experience using commercial or open-source CFD codes such as OpenFOAM, SU2, Fluent, or US3D is useful. International applications are welcome.

How to apply

Mention CFD Jobs Database record #20137 when responding. Contact Hermann Fasel by email to apply or inquire further.

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