下一代飞机的智能多功能超材料AI驱动设计博士研究员
AI-driven design of smart multifunctional metamaterials for next-generation aircraft
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 Applications should include: • your CV (resumé) • 2 academic references • degree transcripts to date • English language qualification (if applicable)
- 最近申请截止
- 2026-12-18
- 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
- 本项目旨在通过计算建模与先进制造相结合，设计、优化并实验测试新型轻质超材料架构，以实现下一代更安全、更安静的飞机。研究探索两个互补方向：一是多功能结构超材料，开发谐振结构和点阵以控制能量传递、提高抗冲击性和增强吸音降噪；二是先进传感与无损检测，探索声学和热学超材料以操纵和聚焦超声波与热波进行结构传感和无损检测。核心挑战在于利用人工智能驱动的逆向设计和性能优化，平衡机械、声学、传感性能及重量和可制造性。
- 申请条件
- 申请者必须持有英国2:1荣誉学位或其国际同等学历，专业背景包括机械工程、航空航天工程、材料科学、物理学、应用数学、声学工程或密切相关的技术学科。
- 待遇
- 提供针对英国及国际学生的资助机会（全额资助），包括校长奖学金（Presidential Bursaries）、学院竞争性奖学金（通常涵盖英国水平学费及生活费津贴）以及Horizon Europe学费减免。
- 申请方式
- 申请人需通过南安普顿大学系统在线申请，选择研究型项目（Research）、2027/28学年、工程与物理科学学院、全职或兼职，选择工程与环境PhD（7175），并在第二部分添加导师姓名。
- 材料清单
- 简历
- 2份学术推荐信
- 至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
- 2026-12-18
- 学科
- 材料科学
- 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）
- Michele Meo
- 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
AI-driven design of smart multifunctional metamaterials for next-generation aircraft
Funding
Fully funded (UK and international)
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
18 Dec 2026
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
Smart multifunctional metamaterials could transform aviation by absorbing impacts, reducing cabin noise and enhancing ultrasonic and thermal-wave imaging of hidden damage. In this PhD, you will design, optimise and experimentally test novel lightweight metamaterial architectures, combining computational modelling and advanced manufacturing to enable the next generation of safer, quieter aircraft.
Smart multifunctional metamaterials offer new opportunities to enhance the performance of lightweight aerospace structures through innovative material design and tailored architectures. Their integration into aircraft composite structures could enable improved impact protection, acoustic performance and advanced sensing and non-destructive testing, combining multiple functions without unnecessary increases in weight or complexity.
This PhD will investigate how metamaterial architectures can be designed and optimised to integrate these functions into lightweight aerospace structures.
The research will explore two complementary directions:
• multifunctional structural metamaterials: developing resonant structures and architected lattices potentially incorporating advanced materials, including graphene-based materials and lightweight aerogels, to control energy transfer, improve impact resistance, enhance sound absorption and reduce noise transmission
• advanced sensing and non-destructive testing: exploring acoustic and thermal metamaterials to manipulate and focus ultrasonic and thermal waves for structural sensing, ultrasonic inspection and thermal-wave imaging, enhancing the detection and characterisation of defects such as delaminations and barely visible impact damage.
A central challenge will be the AI-driven inverse design and performance optimisation of these architectures, balancing mechanical and acoustic performance, sensing and inspection sensitivity, weight and manufacturability.
You will use finite element modelling, parametric optimisation and machine learning to develop innovative configurations. Selected designs will be manufactured and experimentally evaluated at the University of Southampton using advanced facilities and techniques, including laser vibrometry, ultrasonic scanning, infrared thermography and dynamic impact testing.
The project offers opportunities to develop expertise in AI and machine learning, metamaterial design and optimisation, acoustics, advanced materials, structural sensing, ultrasonic and thermographic NDT, and experimental validation.
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
Professor Michele Meo
Professor of Applied Mechanics
Research interests
• Smart Materials and StructuresNDT and SHMImpact and Crashworthiness
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent in one of the following:
• mechanical engineering
• aerospace engineering
• materials science
• physics
• applied mathematics
• acoustical engineering
• or a closely related technical subject.
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
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 Professor Michele Meo (m.meo@soton.ac.uk).