Analytical Modelling of Noise Sources in eVTOL Aircraft for Advanced Air Mobility


   Faculty of Engineering and Physical Sciences

   Saturday, August 31, 2024  Competition Funded PhD Project (Students Worldwide)

About the Project

Supervisory Team:   Chaitanya Paruchuri, Phillip Joseph and Sergi Palleja Cabre

Project description

Overview:

Electrically-powered vertical take-off and landing (eVTOL) aircraft are poised to revolutionize transportation, contributing significantly to the UK economy. However, the potential hindrance of noise on community acceptance is a critical concern. Join our dynamic team at the Institute of Sound and Vibration Research (ISVR) to explore this cutting-edge field and unravel the complexities of eVTOL noise sources.

Project Focus:

This PhD project aims to advance our understanding of noise characteristics in eVTOL aircraft, specifically focusing on configurations with multiple propellers in close proximity to a wing. These unconventional setups introduce novel noise sources that demand comprehensive investigation. Through the development of analytical models, you will contribute to predicting and understanding these complex noise phenomena. Experimental opportunities at the state-of-the-art facilities at the University of Southampton will validate and enhance the predictive models.

Research Environment:

The Acoustics group at ISVR is a globally recognized centre for the study of sound and vibration. By joining our motivated team, you'll collaborate with researchers from diverse backgrounds, including PhD students and postdoctoral researchers. We foster a culture of inclusivity and aim to tackle challenging problems, offering you the chance to develop new skills and expertise in a supportive and collaborative environment. ISVR serves as the esteemed host for the Rolls-Royce University Technology Centre, and as a member of this distinguished group, you will have the invaluable opportunity to gain insights into practical challenges. This unique affiliation provides a harmonious blend of fundamental and applied research.

Requirements:

·        Degree in Engineering or Mathematics.

·        Interest and some experience in experimental work or analytical method development.

·        Strong foundation in mathematics and computing (MATLAB, PYTHON, etc.) for data analysis and model synthesis.

Benefits:

·        Unique opportunity to work on a transformative technology with real-world impact.

·        Collaboration with a diverse and inclusive research team.

·        Access to state-of-the-art facilities for experimental validation.

·        International travel opportunities to present your work at conferences and establish global collaborations.

Application Deadline:

This position is filled on a first-come, first-served basis. We strongly encourage applications from EU and UK students, given funding restrictions. Early applications are advised to secure consideration.

Embark on a journey of discovery and innovation in the realm of advanced air mobility. Join us at ISVR to shape the future of eVTOL technology and make a lasting impact on the aviation industry. Apply now and be a part of the transformation!

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: 31 August 2024.

Funding: Funding for tuition fees and a living stipend are available on a competitive basis. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.

How To Apply

Apply online: Search for a Postgraduate Programme of Study (soton.ac.uk). Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Chaitanya Paruchuri

Applications should include:

Research Proposal

Curriculum Vitae

Two reference letters

Degree Transcripts/Certificates to date

For further information please contact:


Engineering (12) Mathematics (25) Physics (29)

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