Seeking an R&D Associate to develop advanced signal processing, wireless communications, and AI techniques for RF sensing, drone detection, and power grid analytics.
Responsibilities include implementing time-frequency analysis, wireless PHY concepts, RF-based detection pipelines, multi-sensor fusion, and RF propagation modeling.
The role involves integrating physics-informed machine learning, creating prototype tools, and contributing to reports and publications.
Qualifications include a Ph.D. in electrical engineering or related fields, experience in digital signal processing, RF analysis, SDR platforms, MATLAB, Python, and strong communication skills.
Preferred skills include applying wireless techniques to infrastructure sensing, AI/ML for time-series data, and knowledge of power grid signals.
Applicants must submit references, pass background checks, and meet security requirements.
Ideal for motivated individuals eager to work in a fast-paced research environment.