CNRS / IRISA / Inria Rennes
6 days ago
Postdoc in Robust Trajectory Generation for Event-Based Drones CNRS / IRISA / Inria Rennes in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
France
University
CNRS / IRISA / Inria Rennes

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About this position
Postdoc in Robust Trajectory Generation for Event-Based Drones at the Rainbow team, IRISA/Inria Rennes, France, with hiring by CNRS.
This postdoctoral project focuses on robotics, control, optimization, learning, computer vision for robotics, and event-based vision for aerial robots. The goal is to develop robust collision-avoidance and trajectory-generation methods for drones operating in cluttered environments, using neuromorphic/event cameras with microsecond temporal resolution and high dynamic range.
The work includes literature review, algorithmic design for offline and online trajectory generation, observability and robustness metrics, incorporation of air-traffic regulatory constraints, optimization- and learning-based perception/trajectory pipelines, prototyping in simulation, and experimental validation with project partners. The project is part of AVADA, a France 2030-funded initiative aiming to advance drone anti-collision technology from TRL 4 to TRL 7.
Eligibility highlights: a Ph.D. in Robotics, Control, Optimization, Learning, Computer Vision for Robotics, or a related field; strong experience in optimization-based and/or learning-based motion generation for robots, especially drones; event-based vision knowledge is highly desirable; and good C++/Python skills.
Funding and conditions: full-time appointment for 1+1 years, with possible renewal after the first year. Salary follows CNRS postdoctoral salary regulations based on prior experience.
How to apply: submit an application via the provided form. The position remains open until a satisfactory candidate is found.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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