Build an end-to-end CFD workflow to study how multirotor drones interact with each other and with urban environments during hover, takeoff, and landing for vertiport design.

You will:

• Create a library of multirotor drone geometries (3–4 CAD models) and standardize geometry cleaning in Blender.
• Develop a robust OpenFOAM meshing pipeline (e.g., snappyHexMesh) for rotorcraft + nearby structures.
• Establish a baseline single-drone hover simulation and study ground effect and takeoff/landing phases.
• Simulate multi-drone interaction scenarios (2–3 drones: side-by-side, stacked altitude, crossing paths, approach/departure separations).
• Add weather sensitivity (wind/gusts/turbulence intensity) via boundary conditions.

Required skills:

• Must-have: Linux basics; scripting (Python or Bash); CAD basics; OpenFOAM fundamentals (RANS/URANS), snappyHexMesh, ParaView; strong CFD fundamentals.
• Nice-to-have: Rotor modeling (actuator disk, MRF, AMI, overset/dynamic mesh); HPC usage.

Deliverables:

• Drone geometry pack (cleaned CAD/STL/OBJ + cleaning documentation).
• Reusable OpenFOAM templates: single-drone hover; ground effect sweep; drone near building/wall/pad; multi-drone proximity cases; meshing dictionaries + automation scripts.
• Final report and reproducible repo (methods, verification/validation, limitations, results, instructions).

Suggested plan (6 months):

• M1: CAD collection + cleaning pipeline + initial meshing template.
• M2: Baseline single-drone hover.
• M3: Ground effect + staged heights/thrust settings.
• M4: Buildings/structures interaction (pad + obstacles).
• M5: Multi-drone interaction matrix.
• M6: Weather sensitivity + guidelines + final report + packaging.

Compensation: Monthly stipend, with potential performance bonus and paper co-authorship.

📧 Pour postuler: contact@redxt.com