南安普敦大学PhD position in Secure and Trustworthy AI for Autonomous Vehicle Ecosystems申请条件要求-申请方
主办方
南安普敦大学
PhD直招介绍
About the Project
Supervisory Team: Dr Erisa Karafili
This project develops AI-enhanced threat-modelling techniques to improve the cybersecurity and resilience of autonomous vehicles. It analyses vulnerabilities in AI-driven sensing and decision systems, models complex adversarial interactions, and designs adaptive detection and mitigation strategies, with applicability to other safety-critical domains.
Autonomous vehicles increasingly depend on artificial intelligence to support perception, decision-making, and communication, introducing new and complex cybersecurity challenges. This project will investigate how advanced threat-modelling approaches can be used to improve the security and resilience of AI-enabled autonomous vehicle systems under adversarial conditions.
The research will focus on analysing AI models deployed within autonomous vehicles to systematically identify and characterise potential attack surfaces. Particular attention will be given to threats that exploit learning-based components, including data poisoning, sensor manipulation, and model interference, as well as how such attacks propagate across interconnected vehicle subsystems.
Building on this analysis, the project will develop a formal, multi-dimensional threat-modelling framework capable of representing interactions between physical, cyber, human, and AI elements, both within the vehicle and across its wider operational environment. A key aspect of the work will involve integrating AI-driven threat intelligence to support the automated extraction, classification, and prediction of emerging threats.
The project will also explore adaptive security mechanisms that leverage threat-aware reasoning to detect anomalous behaviour and inform mitigation strategies, enhancing the robustness of onboard AI systems and decision-making processes. The developed methods will be evaluated using realistic autonomous vehicle scenarios and will be considered for transfer to other safety-critical domains.
You'll have the opportunity to undertake an exciting industrial placement with a global automotive manufacturer, gaining hands-on experience with real-world autonomous vehicle security challenges and cutting-edge industrial research.
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.
南安普敦大学 PhD position in Secure and Trustworthy AI for Autonomous Vehicle Ecosystems项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Fees and funding
This is an IDLA EPSRC studentship with an industrial partner.
This project is fully funded, including tuition fees and an enhanced stipend that exceeds the UKRI minimum. It also offers a generous allowance for travel, equipment, and laboratory consumables.
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申请要求
Entry requirements
You must have a UK first-class honours degree, or its international equivalent( https://www.southampton.ac.uk/international/entry-qualification-equivalencies ), in one of the following:
cyber security
computer science
artificial Intelligence
engineering
a closely related discipline
Essential skills:
excellent programming skills (e.g. Python, C++, or similar)
strong background in cyber security, including threat modelling and secure systems
solid understanding of artificial intelligence and machine learning
strong interest in autonomous vehicles and safety-critical systems
Experience with adversarial machine learning or security of AI-enabled systems is desirable.
This project is open to UK and Horizon Europe( https://www.southampton.ac.uk/study/fees-funding/postgraduate/scholarships/horizon-europe-fee-waiver ) students only.
Please note that applications will be considered as they are received, and this advert may close before the stated deadline if a suitable candidate is identified. Applicants are therefore encouraged to apply as early as possible.
报名方式
招生人信息
Dr E Karafili
邮箱：E.Karafili@soton.ac.uk
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