"Research Assistant"

Abstract

This research assistant focuses on the design, prototyping, and testing of bio-inspired drones, inspired by the aerodynamics and adaptability of natural flyers such as birds and bats. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance and energy-efficient drones.

Keywords

Morphing wings, composites, additive manufacturing, aerodynamics, UAV design.

Objectives

The main objective is to support the development and validation of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will:

• Participate in CAD/CAE modeling and structural optimization of UAV frames.
• Contribute to fabrication using composite and polymer additive manufacturing.
• Prepare and execute aerodynamic, vibration, and endurance testing campaigns.
• Assist in assembling and calibrating morphing-wing UAV prototypes.

Methodology

• Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology optimization and aerodynamic modeling.
• Fabrication: Composite layup, 3D printing (FDM/SLA), and assembly of drone airframes.
• Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic validation.
• Data Processing: Documentation, data analysis, and contribution to reports/publications.

Expected Outcomes

• TRL 5 UAV prototype.
• 3 Q1 publications and one patent contribution.
• Workflow for morphing UAV design established at UM6P.

Profile of the Research Assistant Candidate & Application Materials

Engineering degree (Bac+5) or equivalent in Aerospace, Mechanical, or Mechatronics Engineering. Background in CAD/CAE, structural design, or composite materials. Practical experience in additive manufacturing or mechanical testing is an advantage. Autonomous, organized, and motivated to work within a multidisciplinary team.

Application materials: CV, cover letter, and one recommendation letter.

Supervisor: Pr. Mostapha TARFAOUI

Co-Supervisor: Pr. Mourad NACHTANE (LIMSET)

Project & Budget line: 165DOPR02-12

Project PI: Pr. Mostapha TARFAOUI