The postdoctoral fellow will conduct advanced research on real-time GNSS spoofing detection, jamming scenario modeling, and the development of robust GNSS/IMU fusion filters. The candidate will also contribute to the implementation of certifiable embedded software modules and experimental validation using laboratory testbeds and flight campaigns.

Required profile: • Ph.D. (≤5 years) in Electrical Engineering, Avionics, Telecommunications, or a related field. • Expertise in GNSS signal processing, inertial navigation, or machine learning. • Proficiency in Python, MATLAB, or C/C++. • Experience with GNSS instrumentation or simulation (e.g., Spirent, Skydel). • Knowledge of aeronautical certification standards (DO-178C, DO-229, DO-254) — strong asset.

Duration : 1 year renewable Location: LASSENA Laboratory, ÉTS, Montreal
Location : LASSENA Laboratory, École de technologie supérieure (ÉTS), Montreal
Chair presentation Video
Official Chair website : https://lassena.etsmtl.ca/chairecmc
To apply: Complete the online form and include your CV, a cover letter, and, if applicable, your publications or relevant projects