关于机械预测性维护（RxM）早期磨损检测的哲学博士（PhD）研究员
Early wear detection for prescriptive maintenance (RxM) of machines
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 • search for programme 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 and certificates to date • English language qualification (if applicable)
- 最近申请截止
- 2027-01-29
- 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 and 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
- 本项目与大学衍生公司 TriboAI Ltd 合作，专注于开发用于风力涡轮机滑动轴承磨损和损坏早期检测的下一代技术。研究将探索新型多模态传感方法，结合静电电荷传感阵列、振动、声发射、温度和润滑剂状态监测，以在发生灾难性故障前识别表面退化的最早特征。同时，项目将利用先进的传感硬件、数据融合算法以及物理信息 AI 模型，将原始传感器信号转化为轴承健康状况和剩余使用寿命的实时评估。
- 申请条件
- 申请人需持有英国 2:1 荣誉学位或其国际同等学历，专业背景包括机械工程、材料、物理、电气工程、数据科学或相关学科。原文未说明仅持学士学位即可申请。
- 待遇
- 提供竞争性资助，学校为英国和国际学生提供一系列资助机会，通常涵盖英国本土学费及生活费津贴。具体资金通过竞争性评选发放。
- 申请方式
- 申请人需通过学校系统申请，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，搜索 PhD Engineering & the Environment (7175) 项目，并在申请表第二部分添加导师姓名。
- 材料清单
- 简历（CV）
- 2份学术推荐信
- 至今为止的学位成绩单与证书
- 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
- 2027-01-29
- 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）
- Robert Wood, Terry Harvey
- 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
A UK 2:1 honours degree or its international equivalent
原文
View all current projects
Postgraduate research project
Early wear detection for prescriptive maintenance (RxM) of machines
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
29 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
This project is in collaboration with the University spin-out TriboAI Ltd, and focused on developing next-generation technologies for the early detection of wear and damage in wind turbine journal bearings. The project will investigate novel multimodal sensing approaches, combining electrostatic charge sensing arrays, vibration, acoustic emission, temperature and lubricant condition monitoring to identify the earliest signatures of surface degradation before catastrophic failure occurs.
This project is in collaboration with the University spin-out TriboAI Ltd, and focused on developing next-generation technologies for the early detection of wear and damage in wind turbine journal bearings.
The project will investigate novel multimodal sensing approaches, combining electrostatic charge sensing arrays, vibration, acoustic emission, temperature and lubricant condition monitoring to identify the earliest signatures of surface degradation before catastrophic failure occurs.
The project will use advanced sensing hardware, data fusion algorithms and physics-informed AI models capable of transforming raw sensor signals into real-time assessments of bearing health and remaining useful life.
Working at the interface of tribology, instrumentation, machine learning and renewable energy, you will have the opportunity to collaborate closely with TriboAI Ltd and industrial partners, contributing to technologies that improve the reliability, availability and sustainability of future wind energy systems.
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 Robert Wood
Professor of Surface Engineering & Tribology
Research interests
• the application of lubrication, wear and friction science
• current and next generation critical machine components (bearings, transmissions, turbines, pumps)
• renewable energy systems
Supervisors
Dr Terry Harvey
Senior Research Fellow
Research interests
• Areas of research interest include:
• Coatings;
• Conditioning Monitoring;
Entry requirements
A UK 2:1 honours degree or its international equivalent in one of the following:
• mechanical engineering
• materials
• physics
• electrical engineering
• data science
• or related disciplines
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
• search for programme 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 and certificates to date
• English language qualification (if applicable)
Contact us
Faculty of Engineering and Physical Sciences
For questions about applying, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Professor Robert Wood (r.wood@soton.ac.uk).