PhD fellowship in design, characterization and control of avian-inspired drones
The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD fellowship in mechanical design, prototyping, aerodynamic characterisation and flight of avian-inspired drones. The project aims at understanding the relationship between morphological configuration, aerodynamic performance, and flight control strategies in birds and robots.
Suitable candidates should have a master’s degree in mechanical engineering and/or aeronautical engineering, and demonstrated experience in mechanical design and prototyping.
Interested applicants should apply to the EPFL Doctoral Programs in Robotics, Control, and Intelligent Systems or in Mechanical Engineering (the next application deadline is December 15, 2023).
PhD fellowship in augmented reality with aerial swarms
The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD fellowship in augmented and immersive reality with a swarm of aerial robots. The project aims at understanding and developing natural and immersive teleoperation by a single human of an aerial swarm endowed with decentralized intelligence.
Suitable candidates should have a master’s degree in computer science and/or robotics, and demonstrated experience in augmented and virtual reality. Previous experience in programming and experimentation with augmented reality headsets is an asset.
Interested applicants should apply to the EPFL Doctoral Program in Robotics, Control, and Intelligent Systems (the next application deadline is December 15, 2023).
PhD fellowship in robot learning with active perception
The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD fellowship in the understanding and development of neural learning models for sensory-motor coordination and goal-oriented behaviors of robots with active vision. In contrast with mainstream models of image recognition and autonomous navigation, the project takes a biologically-inspired approach to active vision and learning in self-organizing machines. The models will be validated in a range of terrestrial and flying robots available in the lab.
Suitable candidates should have a master’s degree in computer science and/or robotics, and demonstrated experience in design and programming of neural networks. Previous experience in embedded vision processing is an asset.
Interested applicants should apply to the EPFL Doctoral Program in Robotics, Control, and Intelligent Systems (the next application deadline is December 15, 2023).