Ph.D. in Mechanical Engineering, Structural Engineering, Civil Engineering, or a closely related field required
A strong background in CFD and demonstrated experience developing and validating coupled fluid–structure interaction (FSI) and multi physics models are required
Experience with CFD, structural, and multi physics software such as ANSYS Fluent/CFX, OpenFOAM, STAR-CCM+, Abaqus, or comparable platforms.
Strong scientific programming and data-analysis skills using Python, C++, MATLAB, or similar tools.
Experience verifying and validating simulations using analytical solutions, benchmark cases, wind-tunnel or laboratory experiments, field measurements, or operational data; identifying model assumptions, strengths, limitations, and uncertainty; and clearly explaining their effects on engineering, risk, and loss estimates.
Experience applying finite element analysis and structural dynamics to evaluate stress, deformation, vibration, fatigue, buckling, damage, or failure.
Experience in one or more application areas, such as wind engineering and the built environment or renewable energy generation and storage.
Familiarity with artificial intelligence (AI), machine learning, reduced-order modeling, uncertainty quantification, sensitivity analysis, or optimization for simulation-intensive engineering problems.
