Aerodynamics Expert, CFD & Python, Remote, Contract

Key Responsibilities: Perform and validate aerodynamic and fluid-dynamics analyses. Translate physical problems into computational models. Define geometry, computational domains, meshes, initial/boundary conditions, fluid properties, and solver settings. Perform CFD/aerodynamic simulations and analyse pressure, velocity, forces, moments, lift, drag, and pressure losses. Diagnose mesh-quality, convergence, numerical-stability, turbulence-model, and boundary-condition issues. Conduct mesh-independence studies and validate simulation results against analytical, experimental, or reference data. Use Python for preprocessing, simulation automation, parameter sweeps, post-processing, and validation. Work with CFD/engineering tools through CLI, scripts, configuration files, APIs, or other programmatic workflows. Review technical engineering solutions for physical and numerical correctness.

Required Qualifications: MS/PhD in Aerospace, Aeronautical, Mechanical Engineering or a related specialization in aerodynamics/fluid mechanics/thermofluids; OR Bachelor's in Aerospace/Aeronautical/Mechanical Engineering with 1–2+ years of aerodynamics-specific professional or research experience. Strong fundamentals in fluid mechanics and applied aerodynamics. Hands-on CFD/aerodynamic simulation experience. Strong Python programming skills. Experience with at least one CFD/engineering tool that can be operated programmatically. Ability to justify mesh strategy, boundary conditions, turbulence models, solver settings and engineering assumptions. Ability to diagnose non-convergence and physically invalid simulation results. Relevant Tools OpenFOAM, SU2, ANSYS Fluent/CFX, Gmsh, FEniCSx, Elmer, CalculiX, or equivalent CFD/simulation tools. Python libraries such as NumPy, SciPy, pandas and Matplotlib are valuable. Engagement Details Fully Remote Contractor engagement Approx. 15 hours/week Flexible schedule; weekend availability is acceptable Immediate start

Compensation: Output/task-based, with an equivalent rate range of $80–$130/hour, depending on expertise, experience and assessment performance Payments processed bi-weekly Selection process includes screening, approximately 30-minute AI interview, technical assessment if required, and final profile review.