面向网络安全与可信AI系统的AI博士研究员
AI for cybersecurity and trustworthy AI 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 • choose the relevant PhD Electronic & Electrical Engineering (7092) • add name of the supervisor in section 2 Applications should include: • a personal statement • your CV (resumé) • 2 academic references • degree transcripts to date
- 最近申请截止
- 2027-06-30
- 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
- • a personal statement
- • your CV (resumé)
- • 2 academic references
- • degree transcripts to date
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
- 本项目研究网络安全与可信人工智能系统的交叉领域，开发用于网络安全和可信人工智能的新颖方法、系统和框架。潜在研究方向包括AI驱动的网络威胁检测、漏洞发现与修复、对抗性机器学习与稳健AI、大语言模型与生成式AI的安全等。
- 申请条件
- 申请人必须持有计算机科学、网络安全、人工智能、软件工程或紧密相关学科的英国2:1荣誉学士学位或国际同等学历。具备人工智能或网络安全知识、技术/研究工作经验、良好的分析解决问题及沟通能力，以及扎实的英语听说读写能力。
- 待遇
- 提供竞争性资助机会（包括面向英国及国际学生的总统奖学金、学院奖学金或Horizon Europe学费减免等）。具体待遇根据学校及学院针对顶级申请者的评定而定。
- 申请方式
- 申请人需通过学校系统申请，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、相关电子与电气工程博士项目（7092），并在第二部分添加导师姓名。
- 材料清单
- 个人陈述 (a personal statement)
- 简历 (your CV (resumé))
- 2封学术推荐信 (2 academic references)
- 至今为止的学位成绩单 (degree transcripts to date)
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
- 2027-06-30
- 学科
- 计算机科学
- 合同类型
- 项目资助
- 本站收录
- 内容更新
- 导师
- Dr BooJoong Kang
- 来源
- 南安普顿大学博士研究项目招生 · 最近核对 2026-10-10
- 详情核验
判定依据（原文摘录）
- english_ok
strong written and spoken English skills
- bachelor_ok
You must have a UK 2:1 honours degree or its international equivalent
原文
View all current projects
Postgraduate research project
AI for cybersecurity and trustworthy AI 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
30 Jun 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
Artificial intelligence is transforming cybersecurity while creating new challenges for the security and trustworthiness of AI systems. This PhD opportunity addresses research challenges across AI for Security and Trustworthy AI, developing novel methods, systems and frameworks for cybersecurity and trustworthy artificial intelligence.
Artificial intelligence is becoming a critical component of modern digital infrastructure. Machine learning and large language models are increasingly used to detect cyber threats, automate security operations and support decision-making. At the same time, AI models and AI-enabled applications introduce new security challenges, creating a growing need for secure, robust and trustworthy AI systems.
This PhD forms part of a broader research programme in AI for Security and Trustworthy AI. Research projects may focus on AI for cybersecurity, trustworthy and secure AI systems, or the intersection of these areas.
Potential research directions include:
• AI-powered cyber threat detection, analysis and response, including malware analysis and network intrusion detection
• vulnerability discovery, prioritisation and remediation
• AI for cybersecurity challenges, including threat intelligence, security operations and user behaviour analytics
• adversarial machine learning and robust AI
• security of large language models, generative AI, AI agents and AI-enabled applications
A central theme of the programme is the design and study of systems that remain effective under realistic conditions. Research may involve developing new algorithms, security mechanisms, system architectures or evaluation frameworks that account for adaptive attackers, emerging threats, distribution shifts and operational constraints.
You will join an active research environment spanning cybersecurity and trustworthy AI, with opportunities to contribute to internationally recognised research while addressing some of the most pressing challenges in securing modern AI systems and digital infrastructures. The project offers considerable flexibility to shape a research direction aligned with your interests while contributing to advances in both theory and practice.
The School of Electronics & 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.
Potential supervisors
Lead supervisor
Dr BooJoong Kang
Lecturer in Computer Science
Research interests
• Machine Learning for Cyber Security (malware and network intrusion)
• Explainable AI for Cyber Security
• Security of AI Systems
Entry requirements
You must have a UK 2:1 honours degree or its international equivalent, in one of the following:
• computer science
• cyber security
• Artificial Intelligence
• software engineering
• or a closely related discipline
Essential skills:
• knowledge of artificial intelligence, cyber security, or a combination of these areas
• experience of undertaking substantial technical or research work
• good analytical, problem-solving and communication skills
• strong written and spoken English skills
Experience in one or more of the following areas would be advantageous:
• Artificial iItelligence and machine learning
• Large Language Models, generative AI or AI agents
• network security, malware analysis, vulnerability assessment or security operations
• adversarial machine learning, AI security or trustworthy AI
• experimental research, benchmarking and reproducible evaluation methodologies
• research publications, open-source contributions, or relevant industrial experience
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
• choose the relevant PhD Electronic & Electrical Engineering (7092)
• add name of the supervisor in section 2
Applications should include:
• a personal statement
• your CV (resumé)
• 2 academic references
• degree transcripts to date
Contact us
Faculty of Engineering and Physical Sciences
If you have a general question, email our Doctoral College (doctoralcollege-admissions@soton.ac.uk).
Project leader
For an initial conversation, email Dr BooJoong Kang (b.kang@soton.ac.uk).