Research Fellow in AI-Based Adaptive Flight Control for Next-Generation Aircraft
The aim of this research is to develop a new generation of intelligent flight control systems capable of dynamically adapting to internal changes (e.g., component faults, geometry-configuration changes) and external perturbations (e.g., turbulence).
The project will use low-cost drone platforms to develop and trial this technology. As part of this, we will use a combination of simulated and physical flight tests to produce an adaptive neural flight controller for both a forward-flight and a vertical take-off and landing UAV configurations. You will be responsible for:
conducting flight dynamics characterisation experiments for the two UAV platforms using our state-or-the-art R J Mitchell wind tunnel, producing a flight dynamics simulation model and training an adaptive neural flight controller using our High Performance Computing facility Iridis, conducting physical flight tests to assess the performance of the adaptive neural flight controller in in close collaboration with our project partner Luffy AI, an SME developing ultra-robust, neuroplastic flight control technology.
There will also be opportunities to supervise post-graduate students and to get involved in other projects in AI-based flight controllers.
The CED research group is comprised of experts in multidisciplinary engineering simulation and design, and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance.You will join a vibrant team of other postdoctoral researchers and graduate students working in different areas of engineering focused on industrial applications and combining a range of analytical, computational and experimental techniques.
If you are interested in this position, you should have or be close to completing a PhD in flight dynamics, simulation and control or a closely-related engineering field. Experience in aircraft flight dynamics modelling, simulation, and control, as well as developing AI-based control solutions is critical.Experience in wind tunnel and physical flight testing is desirable. Strong communication and language skills, as evidenced by publications and presentations, are essential.
Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.
Please contact Dr Sergio Araujo-Estrada (s.araujo-estrada@soton.ac.uk) and/or Prof James Scanlan (j.p.scanlan@soton.ac.uk) for further details about the position.
As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work.With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.