Rigas
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11 months ago
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Fully-Funded PhD Positions in Aerodynamics, AI, and Hypersonic Flight at Imperial College London Imperial College London in United Kingdom
Degree Level
PhD
Field of study
not provided
Funding
Both PhD positions are fully funded, covering tuition fees and providing a stipend. The funding includes support for research activities and access to experimental facilities such as wind tunnels and high-performance computing resources. Exact stipend amount is not specified.
Deadline
Oct 1, 2026
Country
United Kingdom
University
Imperial College London
About this position
Professor Rigas at the Department of Aeronautics, Imperial College London, is recruiting two fully-funded PhD students to join his research group starting around October 2026. The group focuses on cutting-edge topics in advanced aerodynamics, artificial intelligence, autonomy, and experimental flight research. The first PhD project centers on smart and adaptive formation flight using collective intelligence, combining reinforcement learning, wind tunnel experimentation, and energy-efficient flight strategies. The second PhD project involves AI-driven inverse modelling and design optimisation for next-generation hypersonic flight, leveraging artificial intelligence, high-performance computing, and hypersonic technologies.
Both positions offer full funding, including tuition fees and a stipend, and provide access to world-class research facilities. Applicants should have a strong background in aerospace engineering, mechanical engineering, computer science, or related disciplines, and be passionate about shaping the future of air mobility.
Interested candidates are encouraged to apply via the provided links and prepare their application materials for consideration. The application deadline is October 2026, and successful candidates will join a vibrant research environment at Imperial College London.
Funding details
Both PhD positions are fully funded, covering tuition fees and providing a stipend. The funding includes support for research activities and access to experimental facilities such as wind tunnels and high-performance computing resources. Exact stipend amount is not specified.
What's required
Applicants should have a strong background in aerospace engineering, mechanical engineering, computer science, or related fields. Experience or interest in aerodynamics, AI, autonomy, reinforcement learning, experimentation, and high-performance computing is highly desirable. Candidates should be passionate about air mobility and advanced flight technologies. A relevant undergraduate or master's degree is required. No specific GPA or language test requirements are mentioned.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
United Kingdom
Research Interests
No listed interests
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.