postdoc/phd positon Adana Project topic: Vision-based Autonomous Landing of an Impaired Multi-Rotor Drone
Location: Adana Alparslan Turkes Science and Technology University, Adana, Turkey
Department/faculty: Faculty of Aerospace Engineering
Level: University Graduate
Working hours: Full-time
Contract: 30-34 months
Closing date for applications: 15/12/2020
Positions: Two postdoc researchers / Ph.D students
Salary: According to Tubitak graduate researcher grants (full-time basis)
Project description: Autonomous drone missions are an important area of research in the world. One unsolved problem of drone operations is the drones safety. This project will enhance the safety problem of drones by introducing an autonomous architecture for recovery and safe landing. This project aims to develop and implements a Vision-based Safe Autonomous Adaptive Flight Planner architecture for safe landing of impaired multi-rotor drones when one or more of the electric engines/rotor combination fail. The proposed... architecture aims to ensure a fully autonomous safe landing of impaired multi-rotor drones to a suitable landing site in an unknown environment using an onboard camera. The proposed architecture consists of key components or subsystems that are itemized as; (1) an image /video processing subsystem, (2) a fault detection identification, (3) landing site selection, trajectory planning, estimation, and reconfigurable /adaptive control subsystem, (4) strategic decisions making module.
The two Postdocs/Ph.Ds will jointly cover the following fields. These are diverse, and we do not expect applications to be able to cover all fields. In your application, please describe which of the below competencies you can cover, and to what extent.
Image/Video processing and analysis, real time processing and object detection, categorization of ground area, methods for doing above.
Onboard inertial navigation, functionality for estimating aircraft state, modeling of generic multi-rotor, onboard state estimation to aid in fault detection.
Fault detection based on aircraft state and from drone telemetry, fault modeling and detection through both passive and active methods.
Path planning and guidance commands for descending aircraft, path-planning methods, landing trajectory planning.
Programming with real-time and embedded computers, and embedded computers, implement developed methods in C++ and/or Python, Open CV, document programs and developed algorithms.
Operating multi-rotors for flight tests, experience with multi-rotors autopilots and hardware and drones flight operations, plan and conduct test flights in various environments, collect, store, and analyze test data, conduct flight tests.
How to apply:
Applications should include a CV, a cover letter, and the contact details for at least two academic referees. Please send your emails to the following e-mail: