Aerodynamics & CFD Software Engineer (MSc/PhD)

About the role

A boutique consultancy, Gramian Consultancy, is looking for highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) specialists with strong programming skills to join an AI training project focused on aerodynamic analysis, engineering simulation and Python-based computational workflows. The role suits engineers who combine fluid mechanics and applied aerodynamics with practical software development. It is remote, with about 15 hours per week and flexible working days and hours, including weekends.

Key responsibilities

• Analyze airfoils, prepare computational domains and meshes, define boundary conditions and run CFD simulations to calculate lift and drag.
• Validate that flow fields are numerically stable and physically realistic.
• Translate physical engineering requirements into computational models and solver-ready cases.
• Create or modify geometries, domains and meshes, and set initial conditions, boundary conditions, fluid properties and solver settings.
• Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing and validation.
• Calculate and interpret lift, drag, pressure distributions and other aerodynamic quantities.
• Evaluate mesh quality, convergence, solver stability and physical validity, and diagnose non-convergence and unstable solutions.
• Document technical methodologies, engineering decisions and simulation results.

Required profile

• Master's or PhD in Aerospace or Mechanical Engineering (aerodynamics, fluid dynamics or thermofluids), or a bachelor's degree plus 1-2 years of relevant aerodynamics experience.
• Strong understanding of fluid mechanics and applied aerodynamics.
• Practical experience formulating and running CFD or aerodynamic analyses.
• Professional English at C1 level or higher.

Required skills

• Strong practical Python, including writing and debugging code independently.
• Experience using Python for scientific computing, engineering automation or computational analysis.
• At least one engineering tool or library accessible via command line, script, configuration files or API.
• Ability to justify modeling assumptions, mesh strategies and solver settings, and to diagnose numerical convergence issues.

Compensation is output-based, paid per completed task. Previous AI experience is not required.