可扩展多物理场拓扑优化博士研究员
Scalable multiphysics topology optimisation for complex engineering design
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
- 2027-03-31
- 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 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
- 该博士项目致力于开发用于复杂工程设计的可扩展多物理场拓扑优化方法，研究内容涵盖流固耦合、气动结构、共轭传热及热流体拓扑优化，多学科一致伴随灵敏度分析，大规模三维优化以及数值鲁棒性和可扩展性等。
- 申请条件
- 申请者必须持有英国 2:1 荣誉学位或同等国际学位，特别适合具备计算流体力学、计算力学或数值建模强背景（优先考虑有 OpenFOAM 或相关软件经验）的候选人。
- 待遇
- 学校为英国本土及国际学生提供一系列资助机会，竞争性总统奖学金和院系奖学金通常涵盖英国本土学费及生活费津贴。
- 申请方式
- 申请人需选择研究型项目类型、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)项目并在申请第二部分添加导师姓名。
- 材料清单
- 简历 (CV)
- 2封学术推荐信
- 迄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
- 2027-03-31
- 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）
- Ali Elham
- 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
- is_phd
This PhD will develop scalable multiphysics topology optimisation methods for complex engineering design.
- bachelor_ok
You must have a UK 2:1 honours degree or its international equivalent.
原文
View all current projects
Postgraduate research project
Scalable multiphysics topology optimisation for complex engineering design
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 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 PhD will develop scalable multiphysics topology optimisation methods for complex engineering design. Building on an existing CFD- and adjoint-based topology optimisation framework, the research will address coupled physical disciplines, numerical robustness, constraints, sensitivity analysis, and large-scale optimisation, with applications including aerostructural, thermo-fluid, and fluid–structure design problems.
This PhD project will investigate the development and application of advanced multiphysics topology optimisation methods for complex engineering design problems. Unlike conventional shape optimisation, which modifies a predefined geometry, topology optimisation provides greater freedom by allowing the distribution and connectivity of material within a design domain to evolve. Extending this concept to multiphysics problems creates opportunities to discover configurations in which fluid, structural, thermal, and other physical requirements are considered simultaneously.
The project will build on an existing sophisticated and highly scalable topology-optimisation framework combining high-fidelity computational fluid dynamics, adjoint-based sensitivity analysis, and large-scale numerical optimisation. This established code base will provide a strong foundation for developing tightly coupled multiphysics optimisation capabilities.
Potential research topics include:
• coupled fluid--structure, aerostructural, conjugate heat-transfer, or thermo-fluid topology optimisation
• consistent adjoint sensitivity analysis across multiple disciplines
• treatment of multiphysics objectives and constraints
• numerical robustness and scalability
• filtering and regularisation strategies
• mesh-resolution requirements
• large-scale three-dimensional optimisation
The project may also consider validation and manufacturability of complex optimised geometries.
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 Ali Elham
Professor of Design Optimisation
Research interests
• Multidisciplinary Design Optimisation;
• Topology Optimisation;
• Aircraft Design;
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent.
The project is particularly suited to candidates with a strong background in:
• computational fluid dynamics
• computational mechanics
• numerical modelling
preferably with experience using OpenFOAM or related software.
Desirable skills:
• knowledge of numerical optimisation and topology optimisation
• experience with multiphysics modelling, high-performance computing, adjoint methods, finite-volume or finite-element methods or aerospace applications
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, please email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Professor Ali Elham (a.elham@soton.ac.uk).