数据驱动的净零城市城市空气动力学博士研究员
Data-driven urban aerodynamics for net-zero cities
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
- 2027-01-11
- 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
- 本项目结合前沿的3D粒子追踪、机器学习和流体力学，测量和预测建筑周围的城市气流，以支持实现安全、健康且低碳的城市环境。
- 申请条件
- 申请者需持有英国2:1荣誉学位或国际同等学历，专业背景为工程学、物理学或相关学科。
- 待遇
- 原文未说明具体的薪资金额或合同期限，但提到竞争性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，并在申请表的第二部分添加导师姓名后在线提交。
- 材料清单
- 简历 (CV)
- 2封学术推荐信
- 至今为止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
- 2027-01-11
- 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 John Lawson, Professor Zheng-Tong Xie
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-17
- 详情核验
判定依据（原文摘录）
- 确认是博士项目
Type of degree Doctor of Philosophy
- 入学要求
A UK 2:1 honours degree, or its international equivalent, in one of the following: • engineering • physics • a related subject
原文
View all current projects
Postgraduate research project
Data-driven urban aerodynamics for net-zero cities
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
11 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 combines cutting-edge 3D particle tracking, machine learning and fluid mechanics to measure and predict urban airflow around buildings. The research will support safer, healthier and lower-carbon urban environments while providing world-class experimental and computational training.
Engineering net-zero cities requires better methods for predicting wind loading, designing ventilation, ensuring pedestrian comfort and mitigating pollutant dispersion in complex urban environments. Current high-fidelity computational fluid dynamics (CFD) methods can provide detailed flow information but are often too computationally expensive for design and planning. This project addresses the challenge of obtaining accurate flow and pressure data around buildings using a combination of advanced experiments, physics-informed machine learning and data assimilation.
You'll develop novel object-aware 3D Particle Tracking Velocimetry (PTV) methods based on retroreflective shadowgraph imaging, enabling flow measurements in complex urban geometries with significant visual occlusions. These measurements will be combined with state-of-the-art data assimilation techniques, such as our PIGLET framework, to reconstruct velocity and pressure fields while enforcing known flow physics and quantifying uncertainty. An extension will investigate reduced-order models for predicting unsteady flow and pollutant dispersion using resolvent analysis and Gaussian process regression.
The measurements will be validated against large eddy simulations of urban flows and applied to problems including pedestrian-level wind comfort, natural ventilation and structural wind loading. Improved prediction capability could support reduced embodied carbon in buildings through less conservative wind-loading estimates, improved passive ventilation strategies, and safer, more liveable urban environments.
You'll join a thriving research community of over 50 PhDs, postdoctoral researchers and academics within the Aerodynamics and Flight Mechanics Group. You'll have access to our world-class Centre for Experimental Fluid Mechanics laboratories equipped with state-of-the-art flow diagnostics, which are complemented by our IRIDIS high-performance computing facilities.
You'll receive comprehensive, hands-on training in advanced experimental and computational techniques for fluid mechanics, including 3D particle tracking velocimetry and large eddy simulation. You'll also develop expertise in data-driven analysis, scientific computing, and the application of machine learning to large datasets. In addition to technical training, you'll have access to the University’s doctoral college professional development programme, offering workshops including research communication, high performance computing, and academic writing.
You'll be supported to publish your research, present at international conferences, and collaborate with academic and industrial partners, gaining valuable professional experience. This training will equip you with a highly sought-after skill set, spanning experimental aerodynamics, CFD, data science, and physics-based modelling, that will prepare you for careers in academia, research and development, or industry.
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 John Lawson
Lecturer
Research interests
• Turbulent and particle laden flows
• Optical diagnostics development (e.g. 3D particle tracking and PIV, LIF)
• Multiphase flows with mass transfer
Supervisors
Professor Zheng-Tong Xie
PhD,FRMetS
Professor
Research interests
• Aerodynamics
• CFD
• Turbulence
Entry requirements
A UK 2:1 honours degree, or its international equivalent, in one of the following:
• engineering
• physics
• a related 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
• 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 Dr John Lawson (J.M.Lawson@soton.ac.uk).