自主导航系统安全验证与保证博士研究员
Safety validation and assurance of autonomous navigation systems
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
- 2027-01-10
- 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
- 本项目将开发基于运行设计域（ODD）的自主导航系统安全验证与保证方法，利用代表性、关键及退化场景来评估系统性能、识别运行安全边界，并生成支持自主船舶安全部署的可靠证据。
- 申请条件
- 申请者需持有英国 2:1 荣誉学士学位或其国际同等学历，具备强有力的学术研究背景或以往研究经验者为佳。
- 待遇
- 提供针对英国及国际学生的多种资助机会（竞争性总统奖学金及学院奖学金通常涵盖英国本土学费及生活津贴，资助以滚动方式发放）。
- 申请方式
- 申请人需通过南安普顿大学在线系统申请，选择研究型项目、2027/28学年、工程与物理科学学院、全职或兼职，搜索“PhD Engineering & the Environment (7175)”并在申请表第二部分添加导师姓名，截止日期为2027年1月10日。
- 材料清单
- 简历 (CV)
- 2封学术推荐信
- 至今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
- 2027-01-10
- 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）
- Huanhuan Li
- 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）
- 明确申请要求
A UK 2:1 honours degree, or its international equivalent.
原文
View all current projects
Postgraduate research project
Safety validation and assurance of autonomous navigation systems
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
10 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
How can we demonstrate that autonomous navigation systems are safe within their intended operating conditions? This project will develop Operational Design Domain (ODD)-based safety validation and assurance methods. it will use representative, critical and degraded scenarios to evaluate system performance, identify operational safety boundaries, and generate credible evidence supporting the safe deployment of autonomous ships.
Autonomous navigation systems must operate safely across complex and changing maritime environments. Demonstrating this safety is challenging because it is impossible to test every combination of traffic, environmental and system conditions that an autonomous ship may encounter. New approaches are therefore needed to determine whether sufficient evidence exists to support safe operation within a defined Operational Design Domain (ODD).
This project will develop ODD-based methods for the safety validation and assurance of autonomous navigation systems. The research will investigate how maritime operational conditions can be systematically represented as a scenario space covering traffic situations, environmental conditions, vessel behaviour and autonomous system states. Historical maritime data will be used to identify representative navigation scenarios, while simulation-based methods will be developed to generate critical, rare, boundary and degraded scenarios that may expose system vulnerabilities.
The project will investigate how autonomous navigation performance can be evaluated across these scenarios using safety-related measures such as collision avoidance, vessel separation, navigational risk, international regulations for preventing collisions at sea (COLREGs) compliance and successful fallback. Particular attention will be given to identifying the boundaries within which autonomous functions can operate safely and understanding how safety performance changes as conditions approach or exceed those boundaries.
The research will further examine how scenario coverage, system performance, uncertainty analysis and validation results can be transformed into structured safety evidence. Safety-case approaches may be used to establish traceable relationships between safety claims, operational risks, test scenarios and supporting evidence. The project will contribute new methods for scenario-based validation and evidence-based safety assurance, supporting the certification, regulatory assessment and safe deployment of future autonomous ships.
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 Huanhuan Li
PhD (Eng.), FHEA
Lecturer in Maritime Engineering
Research interests
• Maritime safety and security
• AI-driven autonomous shipping
• Decarbonisation and green shipping
Entry requirements
A UK 2:1 honours degree, or its international equivalent.
A strong academic research background or previous research experience is desirable.
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 Huanhuan Li (Huanhuan.Li@soton.ac.uk).