Computational Fluid Dynamics and Aero-Acoustics (CAA) for Flow-field Modeling 
and Structural Health Monitoring - (Keywords: Ansys Fluent, COMSOL CFD or 
similar; Coding - Matlab/Python; Signal Processing; Flow-field measurement and 
Characterization; Wind Tunnel; Sensor Placement Optimization)

The researcher in this position will develop and use computational fluid 
dynamics and aero-acoustics simulation tools to simulate laminar/turbulent flow 
fields and assess wind turbine blade damage using acoustic 
measurements/predictions. The computational tools will also be used to optimize 
the damage detection capability and sensor placement. The ideal candidate will 
have a strong interest in Computational Fluid Dynamics (CFD), acoustics, 
scientific computing, aerodynamics, and fluid-structure interaction (FSI) as 
well as optimization. Background/experience in Ansys Fluent, COMSOL CFD, 
OpenFOAM (or similar), computer programming using compiled languages (Python, C, 
others) and/or Matlab, numerical methods for PDEs (boundary/finite element, 
finite difference and/or finite volume) and/or prior experience using CFD/CAA 
tools is strongly preferred. Parallel computing experience is advantageous, but 
not required. This graduate student is also expected to support sensor hardware 
development and any testing activities in the lab and in the field. This 
position requires an undergraduate GPA > 3.5 (or commensurate experience), and 
satisfactory analytical skills, communication skills, work ethics, integrity, 
and self-motivation.