Robotics, autonomous systems
Work description
- Conduct a requirements assessment for the development of a VTOL for infrastructure surveillance and inspection operations. - Develop deep learning algorithms for cetacean identification; - Explore 3D reconstruction techniques for critical structures. - Implement the algorithms in the ROS framework. - Conduct preliminary flight tests with the developed VTOL; - Exercise critical thinking when evaluating the research process and the results obtained.
Academic Qualifications
Master's degree in electrical engineering, computer science, bioengineering or related field.
Minimum profile required
Master's Degree in Electrical Engineering.
Preference factors
- Over 3 years of experience in autonomous aerial vehicle development, conceptualization, and design; - Robot operating system: ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms - Prior experience in Deep Reinforcement Learning for UAVs; - Prior experience in LiDAR and visible spectrum camera acquisition and processing; - Prior experience with AutoPilot for UAVs/UAS; - Prior experience in 3D modeling using Solidworks and Fusion; - Real-Time Operating Systems: FreeRTOS
Application Period
Since 16 Oct 2025 to 29 Oct 2025
Centre
Robotics and Autonomous Systems