Research Fellow in Distributed Multi-drone Coordination

Location: Leeds - Main Campus

Working time: 37.5 hours per week

Contract type: Fixed term (starting 1^st July 2025 until 31^st July 2026 - To complete specific time limited work.)

Are you an early career researcher looking for your first challenge? Do you have a background in multi-drone coordination via distributed approaches such as collective and reinforcement learning? Do you want to advance your career in one of the UK’s leading research-intensive universities with industrial collaborations?

You will have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on multi-drone coordination, in particular on distributed approaches such as collective and reinforcement learning. 

You will be excited to model different multi-drone coordination problems for applications such as traffic management and last-mile delivery. You will focus on the software and algorithmic elements of multi-drone coordination, while you will have experience with hardware and real drones, including problems such as sensing, data collection, navigation, collision avoidance and energy management. You will know how to innovate and apply algorithms of distributed hard-constrained optimization, collective and multi-agent deep reinforcement learning to coordination problems of drones. You will be excited to work with real-world data as well as simulation scenarios. 

We are open to discussing flexible working arrangements

To explore the post further or for any queries you may have, please contact: 

Professor Evangelos Pournaras, Professor of Trustworthy Distributed Intelligence 

Tel: +44 (0)113 343 4810

Email: E.Pournaras@leeds.ac.uk 

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.

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