扁平光纤平台用于下一代变压器绕组振动监测博士研究员

Flat optical fibre platform for next-generation transformer winding vibration monitoring

University of Southampton · 英国 · Southampton

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
2027-03-19
全部申请截止
  • (Europe/London)
资助原文
Fees and funding Tuition fees will be paid and you'll receive a tax-free living stipend.
资助条件
未确认申请人可获得资助,请以学校审核结果为准。
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
本项目开发一种新型扁平光纤传感器,用于对变压器绕组振动进行精确、连续的监测,以检测早期机械退化并增强电力网络基础设施的可靠性、安全性和寿命。研究结合了多物理场建模、光纤几何优化、传感器设计以及变压器相关振动测试,涵盖灵敏度、带宽、噪声性能、动态范围及长期稳定性的量化。工作还包括开发适用于实际变压器部署的固定策略、封装概念和解调方法。
申请条件
申请人必须持有工程学或物理学领域的英国 2:1 荣誉学位或其国际同等学历。
待遇
学费全免,并可获得免税生活补助(tax-free living stipend)。
申请方式
通过南安普顿大学系统在线申请;需选择项目类型为 Research(2027/28学年,工程与物理科学学院),选择全职或兼职,搜索项目 PhD Engineering & the Environment (7175),并在申请的第2部分添加导师姓名。
材料清单
  • 您的简历 (CV)
  • 2 封学术推荐信
  • 截至目前的学位成绩单和证书
  • 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
2027-03-19
学科
工程
合同类型
项目资助
本站收录
内容更新
导师
Suleiman Sharkh
来源
南安普顿大学博士研究项目招生 · 最近核对 2026-10-10
详情核验
判定依据(原文摘录)
  • is_phd
    Type of degree Doctor of Philosophy
  • is_phd
    Postgraduate research project
  • funding and eligibility
    Fully funded (UK and international)
  • requirements
    You must have a UK 2:1 honours degree, or its international equivalent, in engineering or physics.
原文

View all current projects

Postgraduate research project

Flat optical fibre platform for next-generation transformer winding vibration monitoring

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

19 Mar 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 develops a novel flat optical‑fibre sensor for precise, continuous monitoring of transformer winding vibration. By enabling EMI‑immune, close‑proximity measurements inside high‑voltage environments, the research aims to detect early mechanical degradation and enhance the reliability, safety, and lifetime of critical power‑network infrastructure.

This project tackles a critical challenge in power‑network reliability: the lack of direct, continuous, and localised monitoring of transformer winding vibration. Mechanical degradation in transformer windings, caused by electromagnetic forces during normal operation and fault events, can lead to deformation, loosening, and loss of structural integrity. Existing tank‑mounted accelerometers provide only indirect measurements, heavily distorted by oil and structural attenuation. As a result, early‑stage mechanical faults often go undetected.

This research develops a next‑generation, fully dielectric flat optical‑fibre vibration sensor designed for installation close to transformer windings. The engineered non‑circular fibre geometry, containing large internal microstructured voids, offers enhanced mechanical coupling and exceptional sensitivity to transverse deformation. Its intrinsic immunity to electromagnetic interference makes it uniquely suited for high‑voltage environments where conventional sensors cannot operate.

The project combines multiphysics modelling, fibre‑geometry optimisation, sensor design, and transformer‑relevant vibration testing. You will quantify sensitivity, bandwidth, noise performance, dynamic range, and long‑term stability, and establish how winding vibration translates into optical response. The work includes developing attachment strategies, packaging concepts, and interrogation methods suitable for real transformer deployment.

A standout feature is the strong foundation of prior EPSRC‑funded research and an Impact Acceleration Account award supporting commercial translation of the flat‑fibre technology. You will work within world‑class fibre‑fabrication and structural‑health‑monitoring facilities, with opportunities for collaboration with transformer manufacturers and energy‑sector partners.

This project offers an exciting opportunity to create a transformative sensing technology with real industrial impact, advancing condition‑based maintenance and improving the reliability of critical power‑network infrastructure.

You will receive comprehensive training across optical sensing, fibre technology, and transformer‑relevant structural dynamics. This includes hands‑on experience with advanced fibre‑fabrication facilities, optical interrogation systems, vibration‑testing platforms, and multiphysics modelling tools such as COMSOL and ANSYS. You will develop expertise in experimental design, signal processing, sensor calibration, and mechanical–optical coupling analysis.

Alongside technical skills, you will receive training in research methods, scientific writing, project management, and dissemination through the University’s Doctoral College programme. Opportunities for industry engagement through transformer manufacturers, utilities, and structural‑health‑monitoring partners will support professional development, provide real‑world context, and may enable placements or collaborative testing. You will also gain experience presenting at conferences, contributing to journal publications, and participating in innovation and commercialisation activities linked to ongoing EPSRC‑funded fibre‑technology translation.

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 Suleiman Sharkh

BEng, PhD, CEng, MIET

Professor of Electrical Machines & Drives

Research interests

• Electric Machines

• Power Electronics

• Microgrids

Supervisors

GS

Dr Gholamreza Shayeganrad

Research Fellow

Professor Chris Holmes

MPhys, PhD, CEng, CPhys, FInstP, FHEA

Professor

Entry requirements

You must have a UK 2:1 honours degree, or its international equivalent, in engineering or physics.

Fees and funding

Tuition fees will be paid and you'll receive a tax-free living stipend.

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, please email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).

Project leader

For an initial conversation, email Professor Suleiman Sharkh (S.M.Sharkh@soton.ac.uk).

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