We are seeking to appoint a research fellow who will contribute to NTU’s mission of advancing cutting-edge research in AI security, especially LLM security and design of more powerful and robust AI agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable expertise relevant to the emerging domains of security of AI agent systems.
Key Responsibilities:
- Conduct advanced research in the areas of AI security and the development of robust, agentic AI systems, with a focus on emerging threats, adversarial resilience, and trustworthy autonomous decision-making.
- Design and implement novel research methodologies to advance the security, reliability, and alignment of next-generation AI agent architecture in complex and dynamic environments.
- Collaborate with academic and industry partners, including potential joint projects with institutions to drive interdisciplinary research outcomes.
- Prepare high-quality research publications and contribute to proposal writing for competitive national and international research grants.
- Support the supervision and mentorship of postgraduate students and junior researchers involved in security-related projects.
- Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D.
Job Requirements:
- A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
- Proven research track record demonstrated by publications in top-tier conferences.
- Demonstrated expertise in large language models (LLMs) and their application to AI security, autonomous system reasoning, software vulnerability detection, and robust agentic AI design.
- Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair).
- Excellent programming, analytical, and research communication skills.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU