Hybrid Algorithm Researcher
Core
Develop advanced hybrid algorithmic software combining classical signal processing and AI for sensor modelling, data fusion, tracking, and state estimation in contested electromagnetic environments.
Role type
Senior IC hybrid algorithm researcher (signal processing & AI)
Builds
Low-TRL research and development solutions for resilient sensing and navigation capabilities
Domain
Defence, aerospace, and digital security (Advanced Signal Processing & Position, Navigation & Timing)
Deliverable
production ML models | product features
Required skills
hybrid algorithm design, classical signal processing, machine learning integration, sensor modelling, data fusion, target tracking, state estimation, anomaly detection, time/frequency domain analysis, C++, MATLAB, Mathematica, Python
Preferred skills
electronic warfare, radar, sonar, EKF, UKF, Lie Group UKF, physics-informed machine learning, bid support, technical mentoring
Technologies
C++, MATLAB, Mathematica, Python
Responsibilities
Design and evaluate hybrid algorithms for sensor processing and fusion; apply time- and frequency-domain methods; translate research into practical ASP/PNT solutions; improve robustness of traditional algorithms; support proposals and project delivery; mentor junior engineers
Seniority
Senior, hands-on IC with technical leadership