Aerodynamics Expert (MSc. or PhD) | Remote - Contract Remote (International)

Dover; India; Remote; INR 7,850,000 - 15,699,000; Part time

Job summary

Dover seeks an Aerodynamics Expert (MSc or PhD) to contribute to an AI training project involving CFD, aerodynamic analysis, engineering simulation and Python.

The role is a remote, contractor engagement about 15 hours per week with flexible scheduling. You will translate physical requirements into computational models, run CFD workflows, and validate results using Python-based automation.

Qualifications

• MS or PhD in Aerospace Engineering, or Mechanical Engineering with aero/aerodynamics/thermofluids specialization; or
• BS in Aerospace or Mechanical Engineering plus 1–2 years aero-specific 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 CLI-accessible engineering tool or library
• Ability to justify modeling assumptions, boundary conditions, mesh strategies, and solver settings
• Ability to diagnose non-convergence and physically invalid outputs
• Ability to communicate technical reasoning clearly
• Experience with Python tools (NumPy, SciPy, pandas, Matplotlib, Jupyter) or domain-specific packages

Responsibilities

• Solve and validate aerodynamic and fluid-dynamics problems.
• Translate physical requirements into computational models and solver-ready cases.
• Create or modify geometries, computational domains, and meshes.
• Define initial/boundary conditions, fluid properties, and solver settings.
• Run CFD and aerodynamic-analysis workflows using command-line tools.
• Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.

Skills

Python

Aerodynamics

Education

MS or PhD in Aerospace Engineering

BS in Aerospace or Mechanical Engineering with aero specialization (1–2 years aero experience)

Tools

OpenFOAM

SU2

Gmsh

FEniCSx

Elmer

CalculiX

SciPy

NumPy

Job description

Aerodynamics Expert (MSc. or PhD)

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible - you can choose the hours and days you work, including weekends if desired

We are looking for a highly skilled Aerodynamics Expert to contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks that can be completed through programmatic, command-line-based workflows. A representative task may require analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the resulting flow field is numerically and physically valid.

Required Skills

• Python

• Aerodynamics

What You’ll Work On

• Solve and validate aerodynamic and fluid-dynamics problems.

• Translate physical requirements into computational models and solver-ready cases.

• Create or modify geometries, computational domains, and meshes.

• 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.

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 aero-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 may include Python, OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.

• Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or domain-specific scientific packages. No single library is mandatory.

Process

• Complete an AI interview of approximately 30 minutes.

• Complete the hiring manager review.

Compensation Structure

• Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

• Minimum submission requirements apply.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.