eVTOL飞行器飞行过渡阶段的社区噪声预测博士研究员
Community noise prediction for eVTOL aircraft during flight phase transition
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 • programme type: research • academic year: 2027/28 • if you will be full time or part time • faculty: Engineering and Physical Sciences • search for programme PhD Engineering & the Environment (7175) • please add the name of the supervisor in section 2 of the application. Applications should include: • your CV (resumé) • 2 academic references • degree transcripts/ certificates to date • English language qualification (if applicable)
- 最近申请截止
- 2027-02-28
- 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/ certificates 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
- 本项目旨在开发用于预测和减少电动垂直起降（eVTOL）飞行器在垂直飞行与前飞过渡阶段产生噪声的方法。研究将结合实验室规模实验、飞行测试数据以及人工智能/机器学习方法进行轨迹优化，并在ARUP的合作下纳入全尺寸声学测量数据进行模型验证。
- 申请条件
- 申请人必须持有英国2:1荣誉学位或相关学科（工程学、物理学、应用数学、计算机科学等）的国际同等学历。具备航空航天工程经验（尤其是飞行力学、飞机运行或气动声学）以及MATLAB/Python编程经验者具有优势，但非必需。
- 待遇
- 提供针对英国及国际学生的资助机会（Fully funded），竞争性学生奖学金通常涵盖英国本土学费以及生活费津贴。具体资助形式依学校竞争性奖学金及相关政策而定。
- 申请方式
- 申请人需通过南安普顿大学系统申请，项目类型为研究型（research），学年为2027/28，选择全职或兼职，院系为工程与物理科学学院（Faculty of Engineering and Physical Sciences），搜索项目“PhD Engineering & the Environment (7175)”，并在申请表第二部分添加导师姓名。
- 材料清单
- 简历（CV / resumé）
- 2份学术推荐信
- 迄今为止的学位成绩单/证书
- 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
- 2027-02-28
- 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）
- Dr Sergi Palleja Cabre, Dr Chaitanya Paruchuri
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-24
- 详情核验
判定依据（原文摘录）
- is_phd
Type of degree Doctor of Philosophy
- english_ok
English language qualification (if applicable)
- bachelor_ok
You must have a UK 2:1 honours degree or its international equivalent
原文
View all current projects
Postgraduate research project
Community noise prediction for eVTOL aircraft during flight phase transition
Funding
Fully funded (UK and international)
Type of degree
Doctor of Philosophy
Entry requirements
2:1 UK honours degree
2:1 UK honours degree
View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date
28 Feb 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
Advanced Air Mobility could improve connectivity, logistics and transport efficiency, but community noise remains a major barrier to its widespread acceptance. This project will develop methods to predict and reduce the noise generated by electric vertical take-off and landing (eVTOL) aircraft during the transition between vertical and forward flight.
The Advanced Air Mobility sector is growing rapidly through the development of electric vertical take-off and landing (eVTOL) aircraft and other novel aerial vehicles. However, community noise remains a major barrier to their widespread acceptance and deployment.
This project will focus on the transition between vertical and forward flight, which is characterised by highly transient aerodynamic and aeroacoustic phenomena that can significantly influence both overall noise levels and sound quality. You will develop and extend reduced-order noise-source models for eVTOL aircraft during transitional manoeuvres.
Laboratory-scale experiments and outdoor flight-test data will be used to investigate the dominant noise-generation mechanisms and establish scalable prediction methods. These source models will then be incorporated into whole-aircraft noise prediction tools to assess community exposure and perceived sound quality.
The project will also investigate quieter operating strategies. Artificial intelligence or machine-learning methods may be used to support trajectory optimisation that reduces community noise while accounting for relevant aircraft and operational constraints.
In partnership with ARUP, the project will incorporate full-scale acoustic measurements from operational aircraft, providing validation data and benchmarks for the modelling approaches.
You will benefit from a dynamic, interdisciplinary research environment at the Institute of Sound and Vibration Research (ISVR), with access to state-of-the-art facilities and a vibrant postgraduate community. The University of Southampton is internationally recognised for its excellence in acoustics and aerospace research.
You will have opportunities to attend international conferences, workshops, and training events, and to engage with a global network of researchers and industry experts.
You will have access to the full range of postgraduate development courses offered by the University of Southampton's Doctoral College, covering academic writing, presentation skills, project management, and public engagement.
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
Dr Sergi Palleja Cabre
Senior Research Fellow
Research interests
• Propeller interaction noise
• Fan broadband noise
• Duct acoustics
Supervisors
Dr Chaitanya Paruchuri
Associate Professor
Research interests
• Aeroacoustics
• Duct acoustics
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent in one of the following:
• engineering
• physics
• applied mathematics
• computer science
• or a related discipline
Experience in aerospace engineering, particularly flight mechanics, aircraft operations or aeroacoustics, would be advantageous but not essential.
Programming experience in MATLAB or Python, or an interest in optimisation, artificial intelligence or machine learning, would also be useful.
You do not need experience of every method described above. Training will be provided, and we value curiosity, collaboration, persistence and a willingness to learn.
We welcome applicants from a wide range of backgrounds and particularly encourage applications from women and other groups under-represented in research. All appointments will be made on merit.
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
• programme type: research
• academic year: 2027/28
• if you will be full time or part time
• faculty: Engineering and Physical Sciences
• search for programme PhD Engineering & the Environment (7175)
• please add the name of the supervisor in section 2 of the application.
Applications should include:
• your CV (resumé)
• 2 academic references
• degree transcripts/ certificates to date
• English language qualification (if applicable)
Contact us
Faculty of Engineering and Physical Sciences
If you have a general question, email: feps-pgr-apply@soton.ac.uk
Project leader
For an initial conversation, email Dr Sergi Palleja Cabre (S.Palleja-Cabre@soton.ac.uk).