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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical systems (eCPS). The focus in this research is on analysing and managing agent behaviour for enhanced sustainability and resilience.
The student will be presented with a chance to shape actionable solutions for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem-solving, teamwork, and communication setting the stage for a thriving career in research and innovation.
The aim is to To delve deep into the collaborative dynamics of agents, with a particular emphasis on motivating alignment towards sustainability goals.
Cranfield University provides the ideal environment for this research endeavour, offering a wealth of resources and expertise in engineering and digital technologies.
There are collaboration opportunities with world-leading experts within the International Systems Realisation Partnership.
Students will gain a diverse set of skills that are highly valuable in both academia and industry. Some of the valuable skills are in system design, AI-integration, cyber-physical systems, and sustainability.
Applicants should have a first or second class UK honours degree or equivalent in in Design, Engineering, Computer Science/IT or a related subject. Experience in system design, and/or manufacturing is preferred, and digital technologies is required. It welcomes applications from individuals passionate about addressing real-world challenges, in an inclusive and collaborative research environment.
At Cranfield, we value our diverse staff and student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum.
This is a self-funded project, any interested applicants or any potential sponsor (local government or industry) will need to provide their own financial support in relation to tuition fees, research support fees and living expenses.
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.
For further information please contact:
Name: Jelena Milisavljevic Syed
Email: jelenams@cranfield.ac.uk
If you are eligible to apply for this studentship, please complete the online application form.
This is a self-funded project, any interested applicants or any potential sponsor (local government or industry) will need to provide their own financial support in relation to tuition fees, research support fees and living expenses.
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Research output data provided by the Research Excellence Framework (REF)
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