LLM-Augmented Human-Swarm Collaboration for Embodied Multi-Agent Systems PhD

and cognitive human-machine interface that support the human users. Candidates will have the opportunity to contribute to cutting-edge developments in technology that prioritise human-centred solutions and interdisciplinary approaches.

This project aims to develop embodied AI systems that enhance human-swarm collaboration in time-critical tasks. By integrating foundation models like large language models (LLMs) with physically embodied agents (e.g., drones or vehicles), the research focuses on enabling adaptive, socially aware multi-agent systems. Key objectives include designing LLM-guided swarm behaviours that respond to human cognitive or emotional states and creating natural interfaces that allow operators to intuitively command, query, and understand swarm actions.

The project emphasizes human-centred AI by augmenting workload, improving situational awareness, and fostering trust through transparent communication. Candidates are encouraged to explore and discuss a wide range of topics within these domains, contributing to the design of intelligent, adaptive, and user-friendly autonomous technologies. Students are also welcomed to reach out to discuss their interests and tailor the research direction to align with their expertise and aspirations.

Student undertaking this project will gain a wealth of experience and transferable skills to propel their careers. They will work in world-class research labs equipped with cutting-edge facilities and have the chance to collaborate with leading industrial partners. The candidate will publish high-quality research papers and present their work at international conferences to build global networks with leaders in academia and industry.

We invite students interested in joining this project, focused on an area of human-centred embodied multi-agent systems with foundation models as the key to bringing the next revolution in Artificial Intelligence, and to do so with a focus on one of the most complex and interesting technological areas such as the aerospace and transport field. Cranfield University works with over 1,500 organisations, including the leading global aerospace and automotive companies such as Airbus, Boeing, Rolls Royce, and JLR. This project is based at the Human-Machine-X Collaboration (HUMAX) lab at the advanced Aerospace Integration Research Centre (AIRC). This makes it an ideal research environment with world-class research platforms for the development of this project.

Entry requirements

Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit candidates with a sound background in engineering, computer science, or related disciplines.

Funding

This is a self funded opportunity. Find out more about fees here.

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

For further information please contact:

Name: Dr. Yang Xing

Email: yang.x@cranfield.ac.uk

If you are eligible to apply for this studentship, please complete the online application form.

Please note that applications will be reviewed as they are received. Therefore, we encourage early submission, as the position may be filled before the stated deadline.