We are seeking enthusiastic PhD students to explore the exciting intersection of UAV design, simulation, and control with AI/ML methods. Our research emphasizes big data analytics, computer-assisted modeling and deep learning to address complex challenges in UAV systems.The primary goal of this PhD project is to develop advanced AI/ML-based methods for the design, simulation, and control of solar-powered air-transformer UAVs. The focus areas include, but are not limited to:
AI/ML-Driven UAV Design Optimization:
Utilize machine learning algorithms to optimize the design parameters of solar-powered UAVs for enhanced performance and efficiency.
Implement deep learning techniques to predict UAV performance under various configurations and environmental conditions.
Simulation and Modelling of Air-Transformer UAV Systems:
Develop robust simulation models for UAV flight dynamics using AI-driven approaches.
Adaptive and Robust Control Systems:
Design adaptive control algorithms that can handle signal and safety constraints in complex, dynamically changing UAV systems.
Integrate online learning and real-time data analysis for dynamic control adjustments during flight.
Qualifications:
A strong background in aerospace engineering, robotics, computer science, or a related field.
Experience with UAV design and simulation tools is highly desirable.
Excellent programming skills (e.g., Python, MATLAB, C++).
Strong analytical and problem-solving abilities.
A passion for research and innovation in UAV technology.
How to Apply:
If you are excited about advancing UAV technology through AI/ML and wish to be part of a visionary research team, we encourage you to apply. Please send your CV and a cover letter detailing your research interests and qualifications to cwan@tuskegee.edu.
Shape the future of UAV design, simulation, and control with us. Join our dynamic research group at Tuskegee University and make a significant impact in the field of UAV technology!
