Acoustic mode detection using large microphone arrays 博士研究员
Acoustic mode detection using large microphone arrays
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
博士招生与资助公告
- 申请年度
- 2027；原帖说明：How to apply Apply now You need to: • choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences • select Full time or Part time • choose the relevant PhD Engineering & the Environment (7175) • add name of the supervisor in section 2 of the application Applications should include: • your CV (resumé) • 2 academic references • degree transcripts to date • English language qualification (if applicable)
- 最近申请截止
- 2027-01-31
- 全部申请截止
- （Europe/London）
- 资助原文
- Fees and funding We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. For more information, please visit our postgraduate research funding pages.
- 资助条件
- 原帖为竞争性或附条件资助说明，未确认本项目获资助及申请人能获奖；不作为保证全奖。
- 原帖材料说明
- • your CV (resumé)
- • 2 academic references
- • degree transcripts to date
- • English language qualification (if applicable)
确定性信息来自对应版本的完整原帖。原帖只提供日期，日末和学校当地时区为本站转换假设。筛选使用最后申请截止；资助与录取以学校审核结果为准。
AI 中文速览
- 研究内容
- 本项目旨在设计、构建和测试用于大型麦克风阵列的特定阵列与波束形成算法，以支持罗尔斯·罗伊斯（Rolls-Royce）未来的航空发动机测试，并重建下一代超高涵道比涡扇航空发动机的真实声源级和远场指向性。
- 申请条件
- 申请人必须持有英国2:1荣誉学士学位或国际同等学历，专业为工程学、数学或紧密相关学科；具备强烈的数学基础以及数据分析代码开发和模型综合所需的计算知识（如 MATLAB、PYTHON 等）。
- 待遇
- 提供竞争性资助机会（包括总统奖学金或院系奖学金），涵盖学费及生活费津贴；提供动态的研究环境、参会培训机会以及修读声学、振动与信号处理硕士课程的机会。
- 申请方式
- 申请人需通过学校系统选择研究型项目（2027/28学年，工程与物理科学学院），选择全职或兼职，选择工程与环境博士项目（7175），并在申请表第二部分添加导师姓名。截止日期为2027年1月31日。
- 材料清单
- 个人简历 (CV)
- 2份学术推荐信
- 迄今为止的学位成绩单
- 英语语言资格证明（如适用）
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 最终轮次截止
- 2027-01-31
- 学科
- 工程
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Jack Lawrence, Elias Arcondoulis
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-17
- 详情核验
判定依据（原文摘录）
- is_phd
This PhD project will be hosted within the Rolls-Royce University Technology Centre
- bachelor_ok
You must have a UK 2:1 honours degree or its international equivalent in a general area of engineering or mathematics
原文
View all current projects
Postgraduate research project
Acoustic mode detection using large microphone arrays
Funding
Competition funded
Competition funded
View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree
2:1 honours degree
View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date
31 Jan 2027
On this page
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
Potential supervisors
Entry requirements
Fees and funding
How to apply
Contact us
About the project
Characterising the sound fields measured both inside and outside of aeroengines is essential to support the understanding, prediction and mitigation of future noisy designs. Several challenges exist regarding the design and installation of suitable sensors (e.g., dynamic range and phase response) as well as the calibration, data streaming and signal quality assessment of large-channel-count arrays. Improvements are also required to the signal processing beamforming algorithms required to reconstruct the true location, amplitude and directivity of a source when the measured signal has been subjected to decorrelating effects (e.g., flow turbulence scattering, reverberation). This project aims to design, build and test a specific array and beamforming algorithm to support an upcoming Rolls-Royce aeroengine test.
Microphone array measurements are a key technology in the field of aeroacoustics to localise and quantify acoustic sources. Characterising the tonal sound fields generated by rotating components measured by surface-mounted sensors both inside and outside of an aeroengine within a reverberant wind tunnel is a particularly challenging task due to various signal decorrelating effects, including reverberation and turbulent flow-acoustic boundary layer interaction.
In this project, you will develop custom in-duct and on-wall wind tunnel microphone arrays and algorithms to reconstruct the true source levels and far-field directivity of Rolls-Royce’s next generation Ultra-High-Bypass-Ratio turbofan aeroengine.
This PhD project will be hosted within the Rolls-Royce University Technology Centre (UTC) in Propulsion Systems Noise at the Institute of Sound and Vibration Research at the University of Southampton. The UTC is a world-leading hub for aeroacoustics research, offering close collaboration with the global Rolls-Royce noise engineering team in the UK and Germany. This provides a unique opportunity to contribute to real-world challenges and make a tangible impact on the future of quieter, more sustainable aviation.
You will benefit from a dynamic research environment at ISVR, with access to specialist facilities and a vibrant postgraduate community.
You will have opportunity to attend international conferences, workshops and training events, and to engage with researchers and industry experts.
You will be able to attend taught MSc modules on sound, vibration and signal processing.
The School of Engineering is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.
Potential supervisors
Lead supervisor
JL
Dr Jack Lawrence
Senior Research Fellow
Supervisors
Dr Elias Arcondoulis
PhD, AFAIAA, MAAS, FHEA
Lecturer in Acoustics
Research interests
• Experimental fluid mechanics
• Passive flow and noise controlAcoustic beamforming
• Porous materials
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent in a general area of engineering or mathematics, or a closely related discipline.
Essential skills for development of data analysis codes and subsequent model synthesis:
• a strong mathematical fundation
• computing knowledge (e.g., MATLAB, PYTHON etc.)
Desirable that you have an interest or some experience in:
• carrying out experimental work
• developing or using analytical methods
• using computational models
Fees and funding
We offer a range of funding opportunities for both UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students.
Competition-based Presidential Bursaries from the University cover the difference between overseas and UK fees for top-ranked applicants.
Competition-based studentships offered by our schools typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants.
Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
For more information, please visit our postgraduate research funding pages.
How to apply
Apply now
You need to:
• choose programme type (Research), 2027/28, Faculty of Engineering and Physical Sciences
• select Full time or Part time
• choose the relevant PhD Engineering & the Environment (7175)
• add name of the supervisor in section 2 of the application
Applications should include:
• your CV (resumé)
• 2 academic references
• degree transcripts to date
• English language qualification (if applicable)
Contact us
Faculty of Engineering and Physical Sciences
If you have a general question, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Dr Jack Lawrence (j.lawrence@soton.ac.uk).