Open Positions

The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD or postdoctoral fellowship in teleoperation of a swarm of aerial robots. The project aims at understanding and developing  immersive and adaptive teleoperation by a single human of an aerial swarm endowed with local and decentralized intelligence.

Applicants suitable for a PhD fellowship should have a master’s degree in computer science and/or robotics, and demonstrated experience in teleoperation and virtual reality. Previous experience in experiments with human subjects, virtual reality headsets, acoustic and/or haptic systems is an asset. Applicants suitable for a PhD fellowship should apply to the EPFL Doctoral Programs in Robotics, Control, and Intelligent Systems or in Mechanical Engineering (the next application deadline is December 15, 2024).

Applicants suitable for a Postdoctoral fellowship should send an email to [email protected] with a CV, names and contacts of two references, and a full publication list. Selected applicants will be contacted for interviews. The funding agency requires that applicants should have received a PhD degree not earlier than 2 years before the intended starting date (e.g., for a start on February 1st 2025, the PhD degree should not be earlier than November 30th 2023).

The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD fellowship in design, modelling, and characterisation of drones inspired by the phylogenetic evolution of birds. The project aims at understanding the avian morphological space by means of theoretical, numerical, and hardware models that will be characterised in the Robotic Aerodynamic Characterisation facility of the lab and flown outdoors. The project will be carried out in close collaboration with biologists, namely Prof. Christina Harvey at University of California Davis and Prof. Graham Taylor at Oxford University.

Suitable candidates should have a master’s degree in aeronautical engineering, mechanical engineering, or robotics, and demonstrated experience in design and hardware prototyping. Previous experience in aerial robotics and drone teleoperation is desirable. 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, 2024).

Applicants suitable for a Postdoctoral fellowship should send an email to [email protected] with a CV, names and contacts of two references, and a full publication list. Selected applicants will be contacted for interviews. The funding agency requires that applicants should have received a PhD degree not earlier than 2 years before the intended starting date (e.g., for a start on June 1st 2025, the PhD degree should not be earlier than May 31th 2023).

The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD fellowship in learning of agile flight manoeuvres of avian-inspired drones. The project aims at developing data-driven methods for fast learning of agile flight manoeuvres of avian-inspired drones with diverse morphologies and onboard sensing, including vision. The project will be carried out in close collaboration with biologists, namely Prof. Christina Harvey at University of California Davis and Prof. Graham Taylor at Oxford University.

Suitable candidates should have a master’s degree in computer science or robotics, and demonstrated experience in machine learning methods and computer vision. Previous experience in aerial robotics and drone teleoperation is desirable. 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, 2024).

The EPFL Laboratory of Intelligent Systems welcomes applications for a PhD fellowship in adaptive co-design of morphology and control of avian-inspired drones. The project aims at understanding and developing learning methods that co-adapt the morphological design and control strategies of avian-inspired drones by replicating phylogenetic (evolutionary algorithms, e.g.) and ontogenetic (reinforcement learning, e.g.) adaptation mechanisms. The project will be carried out in close collaboration with biologists, namely Prof. Christina Harvey at University of California Davis and Prof. Graham Taylor at Oxford University.

Suitable candidates should have a master’s degree in computer science or robotics, and demonstrated experience in machine learning. Previous experience in aerial robotics and drone teleoperation is desirable. 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, 2024).