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Research Scientist III

Plymouth, MN

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Join a team recognized for leadership, innovation and diversity The Navigation and Autonomous Guidance Advanced Technology team is seeking a Research Scientist III to join our autonomous systems development team. The primary location for this position is our Plymouth, MN research laboratory. The Navigation and Autonomous Guidance Advanced Technology team conducts development of autonomous systems for both ground and aerial vehicles. Important research areas include technologies for sensing and sensor fusion, perception, position determination and navigation in unconstrained environments, operation without GPS, route planning and execution in dynamic environments, and advanced filtering (e.g. Kalman, particle filtering) and sensor fusion algorithms. Additional areas of research include data acquisition, analysis, inference, and decisions utilizing machine learning and artificial intelligence techniques. Research conducted by other team members but not the focus here include Attitude and Heading Reference Systems (AHRS); advanced navigation and gyro-compassing systems; GPS and GPS landing systems. We promote an open, collaborative R&D environment and an entrepreneurial culture that fosters creativity, as well as competitive salary and benefits. Candidates will join the team responsible for technology development, and technical coordination of assigned projects. In their role they will interact with other team members, as well as business development and program management personnel. The candidate will have experience working with multidisciplinary teams developing and integrating advanced algorithms and hardware for system prototypes or early product development. The successful candidate will have research experience developing capabilities for autonomous systems with particular emphasis on navigation, planning, perception, or vehicle control. Experience particularly relevant to this position include: sensor fusion for navigation, video/lidar based navigation, SLAM; motion planning for holonomic and non-holonomic vehicles in cluttered (potentially dynamic) environments; object recognition, structure from motion, image segmentation using both u2018classicalu2019 image based methods and emerging techniques based on Deep Learning. Experience in implementing algorithms in C or Python using the Robot Operating System is a strong plus. Candidates will participate in advanced concept development, technology development, and technical coordination. In their role they will interact with Honeywell business units and customers.u00a0 YOU MUST HAVE Masteru2019s degree in Robotics, Computer Science, Aeronautical (Aerospace) or Electrical Engineering WE VALUE C and Python ROS, writing both Python and C nodes and services Unreal 3D Engine TensorFlow, Keras, PyTorch, and similar deep learning framerworks/libraries Some experience in autonomous systems, or a PhD in Robotics, Computer Science, Aeronautical (Aerospace), Electrical Engineering or related technical field with emphasis on Autonomous Guidance or Systems Experience in understanding and implementing state of the art algorithms described in the scientific literatureu00a0 Experience integrating guidance, navigation, and control systems for small unmanned air systems (UAS) or a variety of ground vehiclesu00a0 Understanding of navigation including inertial, GPS, image based and integrated navigation systemsu00a0 Ability to integrate RF and EO sensors, LADAR/LIDAR, Doppler, and/or mm-Wave sensors for navigation applicationsu00a0 Experience in developing, implementing and testing novel algorithms for autonomous systems and presenting the work at relevant conferences is a bonus Due to US export control laws, must be a US citizen, permanent resident or have protected status. INCLUDES Relocation Provided Continued Professional Development 1st Shift

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