Aerospace Design PhD Researcher
1 week ago
PhD Supervisor: Ali Elham
We are seeking a highly motivated PhD candidate to contribute to our research team in the application of machine learning techniques to revolutionize aerospace design. This position will focus on developing intelligent algorithms to optimize various aspects of aerospace systems, including aerodynamic performance, structural efficiency, and system-level integration.
The research will involve leveraging big data, advanced computational methods, and AI to streamline the design process, enabling faster, more efficient, and innovative aerospace solutions.
We are particularly looking for candidates with a strong academic background in aerospace engineering or a closely related discipline, with experience in machine learning, data analytics, or optimization techniques. Programming skills and familiarity with aerospace design principles will be advantageous.
You will join a leading Engineering Faculty with an excellent record of collaborative research with industry and academic institutions in the UK and abroad.
Funding opportunities are available for both UK and international students.
Apply online by selecting the 'Apply' button and following the instructions.
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