PhD Studentship: Design, Optimisation, and Ideation of Acoustic Metamaterial Plates using Machine Learning

PhD Supervisor: Felix Langfeldt

Supervisory Team: Dr Felix Langfeldt; Prof Thomas Blumensath

Project description

Explore the forefront of Acoustical Engineering with this PhD opportunity at the University of Southampton. Join the renowned Institute of Sound and Vibration Research (ISVR) and perform pioneering work in noise control and machine learning.

Acoustic metamaterial plates have revolutionized sound control by offering lightweight and mechanically flexible solutions with unparalleled noise reduction, particularly in low frequencies (

Since the metamaterial plates are effectively 2D structures, they can be represented using images. Artificial intelligence (AI) and machine learning methods have been successfully applied in processing and generation of images. This PhD project aims to overcome the challenge of designing acoustic metamaterial plates for different noise control applications by harnessing machine learning methods for image processing to optimize or inversely create new metamaterial plate designs. As part of the project, you will also construct prototypes of your machine learning-based designs and test them in the state-of-the-art acoustic testing facilities at the ISVR.

This 3.5-year studentship covers UK tuition fees and offers an annual tax-free stipend at the EPSRC rate of £18,622 for 2024/25. Join the dynamic Signal Processing, Audio, and Hearing Group at ISVR, where you'll collaborate with over 30 diverse PhD students, engaging in various social activities. The university promotes a healthy work-life balance through flexible work-from-home policies and discounted access to outstanding sports facilities.

Throughout your PhD journey, you will have opportunities to present your research at international conferences, expanding your academic network. Travel funds are provided for participation in conferences related to sound, signal processing, and metamaterials. Additionally, technical training opportunities, including world-class modules and international summer schools, will enhance your skills.

We invite motivated candidates with a background or interest in engineering acoustics, data science, applied physics, noise control, and numerical methods to apply. Experience with acoustic metamaterials and machine learning is advantageous.

Don't miss this chance to contribute to a groundbreaking field and shape the future of noise control and sustainability. Apply now and be part of a cutting-edge research team at the forefront of Acoustical Engineering.

Entry Requirements

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

Closing date:

30 April 2024 for standard admissions, but later applications may be considered depending on the funds remaining in place.

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 Felix Langfeldt

Applications should include:

• Curriculum Vitae
• Two reference letters
• Degree Transcripts/Certificates to date

For further information please contact: feps-pgr-apply@soton.ac.uk

Advert information