About the Role
GSMI is seeking a Postdoctoral Researcher to join a cutting-edge research initiative focused on the design, prototyping, and testing of bio-inspired drones. This position centers on developing unmanned aerial systems that draw from the aerodynamics and adaptability of natural flyers such as birds, aiming to advance the field of bio-inspired robotics and aeronautical engineering.
Key Responsibilities
- Conduct advanced research on bio-inspired drone design, studying natural flight mechanisms including avian aerodynamics and insect flight patterns.
- Develop detailed design specifications and computational models for bio-inspired aerial vehicles.
- Lead the fabrication and prototyping of drone components using modern manufacturing techniques including 3D printing, CNC machining, and composite layup.
- Design and execute rigorous testing protocols for structural integrity, aerodynamic performance, and flight stability.
- Analyze test data to refine designs and improve drone performance metrics such as lift, thrust, maneuverability, and energy efficiency.
- Collaborate with multidisciplinary teams including materials scientists, control systems engineers, and biologists.
- Publish findings in peer-reviewed journals and present at international conferences in the fields of robotics, aerospace engineering, and biomimetics.
- Contribute to grant proposals and support the expansion of the research program.
Requirements
- PhD in Aerospace Engineering, Mechanical Engineering, Robotics, Biomimetics, or a closely related field.
- Strong background in aerodynamics, fluid mechanics, or flight mechanics of biological systems.
- Hands-on experience with prototyping and fabrication of mechanical or robotic systems.
- Proficiency in computational tools such as CFD software (e.g., ANSYS Fluent, OpenFOAM), CAD software (e.g., SolidWorks, CATIA), and simulation environments.
- Demonstrated ability in experimental testing and data acquisition for mechanical or aerospace systems.
- Publication record in relevant peer-reviewed journals or conference proceedings.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work both independently and within a collaborative research environment.
Preferred Skills
- Experience with composite materials and lightweight structural design.
- Familiarity with control systems and embedded electronics for autonomous flight.
- Knowledge of biomimicry principles and their application to engineering design.
- Experience with wind tunnel testing or flight testing of small-scale aerial vehicles.
- Programming skills in Python, MATLAB, or C++ for data analysis and simulation.