This exciting research position sets out to develop flight control systems for Uncrewed Air Vehicles (UAVs) based on machine learning. You will be developing reinforcement learning based flight control systems for micro quadcopters and hybrid flight control systems for morphing wing UAVs. You will then experimentally test and validate these using advanced free flight and wind tunnel testing facilities.
This position is part of our multidisciplinary UKRI Trustworthy Autonomous Systems Node in Functionality which explores how to develop trustworthy adaptive autonomous systems. The successful applicant will be part of a large multidisciplinary team of researchers from ethics, sociology, computer science and engineering working together to develop design-for-trustworthiness techniques for a wide range of autonomous systems, including swarm robotics, soft robots, and unmanned air vehicles. They will also be a part of the larger national £33 million UKRI Trustworthy Autonomous Systems programme.
The position will be based at the Bristol Robotics Laboratory, the largest centre for multidisciplinary research in the UK. This position will also involve close interaction with the Bio-inspired Flight Lab, and the Bristol Flight Lab at the University of Bristol.
For more details about the role and how to apply, visit the University of Bristol job site: Vacancy ref. ACAD106468
Closing date: 1 December 2022