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Mahdi Azarpeyvand

Prof

University of Bristol

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United Kingdom

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Research Interests

Aerospace Engineering

10%

Fluid Mechanics

10%

Metamaterial

10%

Mechanical Engineering

10%

Physics

10%

Materials Science

10%

Computer Science

10%

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Positions2

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University of Bristol

University of Bristol

Fully Funded PhD Positions in Aeroacoustics, Fluid Mechanics, and Sustainable Sound Futures at University of Bristol

The University of Bristol is offering several fully funded PhD positions within the EPSRC Centre for Doctoral Training in Sustainable Sound Futures. These opportunities focus on cutting-edge research in aeroacoustics, fluid mechanics, acoustics, metamaterials, and sustainable technologies. Projects include collaborations with leading industry partners such as ONERA (The French Aerospace Lab), Jaguar Land Rover, Siemens Industry Software NV, RNIB, and Sonos, providing candidates with access to state-of-the-art facilities and international research networks. One highlighted project, supervised by Dr Esmaeel Masoudi, Dr Claudia Nicolai, and Prof Mahdi Azarpeyvand, investigates turbulent flow-induced noise prediction and modelling using experimental, numerical, and machine learning techniques. The research aims to understand and predict pressure fluctuations caused by turbulent airflows over aircraft wings and fuselages, which are critical for improving efficiency, reducing weight, and minimizing environmental impact in aerospace engineering. The project offers access to advanced wind tunnel facilities and involves collaboration with ONERA, providing valuable experience in aeroacoustics, fluid dynamics, and AI. Other available projects span topics such as noise and vibration control in automotive applications, transfer path analysis for prototyping vehicles, communication and listening effort for blind and partially sighted people, and personalized auditory modelling for headphone audio optimization. Subject areas include mechanical engineering, physics, aerospace engineering, materials science, computer science, and acoustics. Candidates will join a vibrant research community, benefit from industrial placements, and have opportunities to present findings at major international conferences. Eligibility requires a first-class honours degree or a Master's with distinction in a relevant science or engineering discipline. Experience in acoustic or vibration measurement, prediction, and analysis is desirable, as are programming skills and familiarity with machine learning or speech science. Some projects may have nationality restrictions (UK/EU only). Funding is fully provided, covering tuition fees and a stipend, with additional support for research activities and travel. The application deadline is 11 January 2026. Interested candidates should review the available projects, contact supervisors with specific questions, and submit their applications via the University of Bristol portal. For more information, visit the CDT website or scan the QR code on the flyer.

1 month ago