Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.
Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
Analyze pressure, velocity, forces, moments, lift, drag, pressure loss, and other relevant outputs.
Diagnose problems involving mesh quality, convergence, numerical stability, turbulence modeling, or boundary conditions.
Perform mesh-independence studies, sanity checks, and comparisons against analytical, experimental, or reference results.
Review AI-generated engineering solutions and identify incorrect assumptions, invalid configurations, and physically unrealistic outputs.
Develop clear, reproducible reference solutions and verification criteria.
Required Qualifications
An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; or
A BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aerodynamics-specific professional or research experience.
Strong understanding of fluid mechanics and applied aerodynamics.
Experience formulating and executing CFD or aerodynamic analyses.
Practical proficiency with Python.
Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Ability to communicate technical reasoning and engineering trade-offs clearly.
Relevant Tools
Examples include
OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software.
Experience with an equivalent CLI-accessible or programmatic engineering tool is also acceptable.
Relevant Python Tools
Examples include
NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, and other scientific or domain-specific packages.
No single library is mandatory.
