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Job Record #19187
TitlePhD Position in Computational Aerodynamics
CategoryJob in Academia
EmployerMississippi State University
LocationUnited States, Mississippi, Starkville
InternationalYes, international applications are welcome
Closure Date* None *
Computational Aerosciences and Multiphysics Laboratory (CAML) in the Department 
of Aerospace Engineering at Mississippi State University (MSU), United States 
invites applications for multiple fully funded Ph.D. positions, starting Fall 

Located in a southern state of Mississippi, MSU is land-grand research 
university with R1: Doctoral University – very high research activity 
classification. The university hosts a world-class High-Performance Computing 
Collaboratory (HPCC), state of the art research centers including Center for 
Advanced Vehicular Systems (CAVS) and Raspet Flight Research Laboratory, 
providing numerous opportunities to perform collaborative research.

At CAML, we focus on performing high-fidelity Large Eddy Simulations (LES), 
Direct Numerical Simulation (DNS) of low/high-speed flows. In general, high-
speed multi-physics interactions, flow stability transition chaos and 
turbulence, machine learning for fluid mechanics, and modal decompositions and 
data-driven approaches are the current research interests at CAML.

We collaborate with Air Force Research Laboratory (AFRL) at Wright-Patterson Air 
Force Base, National Aeronautics and Space Administration (NASA) Langley, and 
several University partners on the aforementioned topics of research.

• M.S. in aerospace, mechanics, mechanical/chemical engineering, applied 
physics, or a closely related discipline. M.S. with project experience and 
publication record is preferred.
• Be passionate and self-motivated to venture into new areas and do 
important/revolutionary work on the above research topics.
• Strong mathematical background and interest in computational fluid dynamics, 
fluid-thermal-structure interaction, flow stability, machine learning, flow 
visualization, etc.
• Good programming skills in Fortran, Python, or MATLAB. Experience in GPU or 
parallel computing is a plus.

How to Apply:
Interested candidates are invited to email Dr. Vilas Shinde 
( with a short introduction of the research interests, 
the latest CV (including GRE/TOFEL scores and contact information 
of three professional references), and transcripts. 
Please include the CFD-online job record number # in the subject line of your 
More information about admissions and applications can be found at:
Contact Information:
Please mention the CFD Jobs Database, record #19187 when responding to this ad.
NameProf. Vilas Shinde
Email ApplicationYes
Record Data:
Last Modified04:31:17, Thursday, May 23, 2024

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