Autonomous Navigation of Unmanned Air Vehicles in Dark Environments
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JPL is pioneering new techniques using thermal cameras to enable autonomous robotic flight in dark environments, when standard GPS or vision-based navigation techniques cannot be used. Potential applications include Earth Science, defense and planetary explorations. The successful candidate will join a team in state estimation, perception, motion planning and Unmanned Air Vehicles (UAV) and are expected to design, implement, test and demonstrate new algorithms to advance the state of the art in this area. Dr. Jeff Delaune will serve as the postdoctoral advisor. The appointee will carry out research in collaboration with the JPL advisor and others, resulting in publications in the open literature.
This position requires a PhD in robotics or a related field. The applicant should have a strong background in state estimation and computer vision. Experience with visual-inertial or thermal-inertial odometry is a plus. The candidate should be proficient in C++. Experience with ROS and UAV hardware is a plus. Candidates who have received their PhD within the past five years since the date of their application are eligible. Postdoctoral Scholar positions are awarded for a minimum of one-year period and may be renewed up to a maximum duration of three years.
A CV, representative publications, contact information for three references, and a cover letter stating their research accomplishments and interests is expected from each candidate.
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