以人为中心的自动驾驶车辆安全与隐私保护

该博士项目旨在研究与自动驾驶汽车相关的安全、隐私及信任挑战，重点探讨人类与这些汽车之间的互动关系。通过采用模拟技术与以用户为中心的设计方法，本研究旨在通过分析人类对车辆决策的理解、隐私顾虑以及对关键事件的应对方式，从而打造更安全、更值得信赖的出行方式。

About the project How can autonomous vehicles earn and maintain people’s trust? This PhD explores the security, privacy, and human factors challenges of AI-enabled transport, focusing on interactions between drivers, pedestrians, and autonomous vehicles. Using innovative simulation and user-centred design methods, you will help shape safer, more trustworthy, and socially acceptable mobility. Autonomous vehicles (AVs) are rapidly becoming part of everyday transport, yet critical challenges remain in ensuring that they are secure, privacy-preserving, and trusted by the people who use and interact with them. This PhD project will investigate how drivers, passengers, and pedestrians perceive, interpret, and respond to the behaviour of AI-enabled vehicles, particularly when vehicle decisions are unexpected, ambiguous, privacy-sensitive, or influenced by cyber threats. The project builds on emerging research that views humans as active partners in the safe operation of autonomous systems rather than passive users. The research will explore topics such as human understanding of vehicle decision-making, privacy and data-sharing concerns in intelligent transport systems, communication between autonomous vehicles and pedestrians, trust and situational awareness, and responses to safety-critical events including cyberattacks. You will design and evaluate novel interfaces, decision-support tools, and interaction mechanisms that help people better understand, trust, and safely engage with autonomous vehicles. The project combines methods from cybersecurity, privacy, human-computer interaction, AI, and transportation research, but it is not required for candidates to have knowledge across all the fields. Standout features include access to state-of-the-art driving simulation facilities, opportunities to collaborate with researchers in transportation and intelligent systems, and training in user-centred design, experimental methods, and AI-enabled technologies. The outcomes will contribute to the development of safer, more trustworthy, and socially acceptable autonomous transportation systems. The supervisor will provide training in cybersecurity, privacy, and human-computer interactions. There will also be opportunities to collaborate with researchers in transportation and intelligent systems to deepen understanding of the socio-technical challenges facing today's AI-driven transportation systems. The School of Electronics and Computer Science 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.

入学要求 英国2:1荣誉学位或同等国际学位，且所学专业为以下领域之一： 计算机科学 网络安全 人工智能 软件工程 物联网 网络物理系统 人机交互 交通与智能系统 或相关学科 基础技能： 扎实的编程背景 用户研究经验

资助：竞争性资助 学费与资助 我们为英国本土学生和国际学生提供多种资助机会。符合条件的学生可通过“地平线欧洲”学费减免，自动免除国际学生学费与英国本土学生学费之间的差额。 大学通过竞争性遴选授予的校长助学金，为遴选排名靠前的申请人支付国际学生学费与英国本土学生学费之间的差额。 本校各学院通过竞争性遴选提供的博士奖助金，通常为遴选排名靠前的申请人支付按英国本土学生标准收取的学费，并提供生活津贴。 资助采用滚动授予方式，因此请尽早申请，以尽可能增加进入资助评选的机会。 如需了解更多信息，请访问我们的研究生研究资助页面。

如何申请 您需： 选择课程类型（研究型）、2027/28学年、工程与物理科学学院 选择全日制或非全日制 查找项目：哲学博士 计算机科学（7089） 在申请表第2部分填写导师姓名 申请材料应包括： 研究计划书 您的CV（个人简历） 2份学术推荐信 截至目前的学位课程成绩单和证书 英语语言资格证明（如适用）