{"id":7199,"date":"2025-11-13T02:20:13","date_gmt":"2025-11-13T01:20:13","guid":{"rendered":"https:\/\/resmiq.org\/?post_type=recrutement&#038;p=7199"},"modified":"2025-12-17T17:21:53","modified_gmt":"2025-12-17T16:21:53","slug":"doctorat-en-genie-electrique-aeronautique-pour-etude-des-vulnerabilites-gnss-techniques-danti-spoofing-et-architectures-de-recepteurs-resilients","status":"publish","type":"recrutement","link":"https:\/\/resmiq.org\/en\/recrutement\/doctorat-en-genie-electrique-aeronautique-pour-etude-des-vulnerabilites-gnss-techniques-danti-spoofing-et-architectures-de-recepteurs-resilients\/","title":{"rendered":"Ph.D. in Electrical \/ Aerospace Engineering for Analysis of GNSS Vulnerabilities, Anti-Spoofing Techniques, and Resilient Receiver Architectures"},"content":{"rendered":"<p>This Ph.D. project is part of the CMC Electronics Industrial Research Chair on Resilient GNSS Navigation (GSDM).\nThe research aims to advance the understanding of GNSS vulnerabilities to spoofing attacks and to develop innovative detection and mitigation strategies tailored to aeronautical and space applications.\nThe Ph.D. candidate will contribute to the modeling, simulation, and experimental validation of anti-spoofing techniques integrated into hybrid GNSS receiver architectures (SDR, multi-constellation, multi-frequency).<\/p>\n<p><strong>Research objectives:<\/strong> \u2022 Develop an in-depth understanding of GNSS vulnerabilities to spoofing and jamming attacks.\n\u2022 Explore and evaluate major detection and mitigation (anti-spoofing) strategies, including cryptographic, signal processing, and sensor-fusion approaches.\n\u2022 Analyze and compare receiver architectures (traditional, SDR, multi-constellation) in terms of resilience.\n\u2022 Propose new GNSS\/IMU fusion and machine-learning-based methods to enhance robustness and signal integrity.\n\u2022 Produce a comprehensive synthesis leading to the design of a resilient GNSS architecture suitable for aeronautical certification (DO-178C, DO-229).<\/p>\n<p><strong>Required profile:<\/strong> \u2022 Master\u2019s degree in Electrical Engineering, Avionics, Computer Engineering, or a related field.\n\u2022 Strong interest in GNSS systems, cybersecurity, and signal processing.\n\u2022 Skills in deep learning, Kalman filtering, and multi-sensor data fusion.\n\u2022 Motivation for applied research and experimental validation.<\/p>\n<p><strong>Duration :<\/strong> 4 years (full-time)<br \/>\n<strong>Location :<\/strong> LASSENA Laboratory, \u00c9cole de technologie sup\u00e9rieure (\u00c9TS), Montreal<br \/>\n<strong><a href=\"https:\/\/www.youtube.com\/watch?v=B6yro3b8I8g\" target=\"_blank\" rel=\"noopener\">Chair presentation Video<\/a><\/strong><br \/>\n<strong>Official Chair website :<\/strong> https:\/\/lassena.etsmtl.ca\/chairecmc\/<br \/>\n<strong>To apply:<\/strong> Complete the online form and include your CV, a cover letter, and, if applicable, your publications or relevant projects<\/p>","protected":false},"template":"","meta":{"_acf_changed":false},"axe-et-theme":[116],"class_list":["post-7199","recrutement","type-recrutement","status-publish","hentry","axe-et-theme-axe4-microsystemes-pour-les-technologies-de-linformation-et-de-telecommunications"],"acf":[],"_links":{"self":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/recrutement\/7199","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/recrutement"}],"about":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/types\/recrutement"}],"wp:attachment":[{"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/media?parent=7199"}],"wp:term":[{"taxonomy":"axe-et-theme","embeddable":true,"href":"https:\/\/resmiq.org\/en\/wp-json\/wp\/v2\/axe-et-theme?post=7199"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}