Master Thesis: Drone Detection with Acoustic and ISAC Sensing
Core
Investigate acoustic sensing and Integrated Sensing and Communication (ISAC) as complementary technologies for drone detection, classification, and tracking.
Role type
Master Thesis Researcher (Signal Processing & AI)
Builds
Recommendations for future AI-enabled, multi-modal drone sensing systems
Domain
Aerospace security, 6G networks, Signal Processing
Deliverable
research
Required skills
Computer Science, Electrical Engineering, Signal Processing, Programming (Python preferred)
Preferred skills
Machine learning, Wireless systems, Acoustic systems
Responsibilities
Compare detection performance of acoustic vs. ISAC sensing; Record and analyze drone acoustic signatures; Classify drones from sound; Explore AI for sensor fusion and confidence combination; Evaluate cost-versus-performance trade-offs
