PhD Position in Robust AI-based Guidance and Navigation for Drone Swarms
Société : ENAC Lieu : Haute-Garonne (Occitanie)
Présentation de l'entreprise
L’ENAC, École Nationale de l’Aviation Civile, est la plus importante des Grandes Écoles ou universités aéronautiques en Europe. Elle forme à un spectre large de métiers : des ingénieurs ou des professionnels de haut niveau capables de concevoir et faire évoluer les systèmes aéronautiques et plus largement ceux du transport aérien ainsi que des pilotes de ligne, des contrôleurs aériens ou encore des techniciens aéronautiques.
Ses laboratoires de recherche sont à la pointe de l’innovation et travaillent activement en coopération avec des universités internationales de haut niveau pour un transport aérien toujours plus sûr, efficace et durable.
L’ENAC est un établissement public à caractère scientifique, culturel et professionnel – grand établissement (EPSCP-GE), sous tutelle de la DGAC (Direction Générale de l’Aviation Civile), Direction du Ministère de la Transition Écologique et Solidaire. L’ENAC comprend une direction générale localisée à Toulouse et 8 sites en France.
Pour soutenir sa dynamique en faveur de la promotion de la diversité, l’ENAC facilite l’accueil et l’intégration des travailleurs en situation de handicap.
Join our innovative research team at ENAC, renowned for national and international projects including VOLTIGE, SKYSCANNER, FIREFLIES, and ATLAS. Benefit from exceptional facilities and expertise:
· A large indoor flight arena (10x10x10 meters) with an OptiTrack motion capture system.
· Dedicated outdoor flight facility at Muret, near Toulouse.
· In-house developed Paparazzi open-source autopilot system.
· We tackle significant practical and theoretical challenges in UAS technology, airspace management, and multi-agent autonomous systems.
ENAC's Dynamic Systems Research Axis invites motivated candidates to apply for a fully-funded PhD position focusing on robust guidance and navigation algorithms for collaborative drone swarms. You will join an exciting project aimed at developing perception-aware guidance frameworks using advanced AI techniques, including neural ordinary differential equations (Neural ODEs), differential geometry, and multi-agent systems.
Project Summary:
The project will develop a robust AI framework for collaborative drone swarm perception and navigation, leveraging multimodal sensory data (visual and LiDAR) to ensure reliable operations in challenging environments, including adverse weather and poor lighting conditions. Your PhD research will specifically focus on:
· Developing innovative perception-aware guidance algorithms for drone swarms.
· Implementing collision avoidance and swarm navigation integrated seamlessly with robust perception models.
· Empirically validating these approaches through extensive field testing and experiments.
Profil recherché
We seek highly motivated candidates with:
· A Master's degree (or equivalent) in Robotics, Aerospace Engineering, Computer Science, or a related field.
· Strong background in drone guidance, multi-agent systems, and swarm robotics.
· Proficiency or strong interest in AI, deep learning, and neural ODEs.
· Basic familiarity or interest in computer vision techniques.
· Programming experience in Python and/or C++.
· Good communication skills and a collaborative spirit within interdisciplinary teams.
Application Process:
The application should include a cover letter, a detailed curriculum vitae, a list of publications/projects (if there are any…), and the name and contact information of at least one reference.
Shortlisted candidates will be contacted for further interview and discussion.CLIQUER ICI POUR POSTULER
