Beckett Y. Zhou
Just Landed
2 days ago
Fully Funded MSc, PhD, and Postdoctoral Positions in Aerodynamics and Aeroacoustics at Georgia Tech Georgia Tech in United States
Degree Level
Master's, PhD, Postdoc
Field of study
Computer Science
Funding
Multiple MSc, PhD, and post-doctoral positions are available and explicitly stated to be fully funded, supported by various sponsors.
Country
United States
University
Georgia Tech

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About this position
Beckett Y. Zhou, Assistant Professor at Georgia Tech, is recruiting for multiple fully funded openings in the Computational Laboratory for Aerodynamics and Aeroacoustics Research at the School of Aerospace Engineering.
The opportunities span MSc, PhD, and post-doctoral levels and focus on research in aerodynamics, aeroacoustics, computational fluid dynamics, computational aeroacoustics, acoustic scattering, turbulence modeling, aerodynamic/acoustic optimization and control, and data-driven methods for turbulence and noise prediction.
Research themes include high-fidelity aerodynamic and aeroacoustic simulations, high-order embedded-boundary CFD/CAA solver and algorithm development, high-frequency broadband noise in complex urban environments, efficient turbulence-generated broadband noise modeling, and gradient-based/gradient-free optimization and control.
Ideal applicants should have a strong background in fluid dynamics and numerical analysis, with interest in numerical simulation, design optimization, or scientific machine learning. Strong programming ability and solver development experience are especially valued.
The post does not list a deadline. Interested candidates should contact [email protected] directly and indicate their fit for the relevant research area(s).
Funding details
Multiple MSc, PhD, and post-doctoral positions are available and explicitly stated to be fully funded, supported by various sponsors.
What's required
Candidates should have a solid background in fluid dynamics and numerical analysis, and interest in numerical simulation, design optimization, or scientific machine learning. Strong programming skills and especially solver development experience are highly desired.
How to apply
Email Beckett Y. Zhou at [email protected] with your background and interest. Mention the research area(s) you fit best and inquire about the open funded positions.
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