Research Associate (Software Security and LLM-based Agentic Systems)

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity leveraging NTUs core competencies in Engineering Exact Sciences International Studies and Business among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTUs vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles

• cyber risk management advanced threat intelligence

• secure-by-design for IoT and policy

• governance of cybersecurity

For more details please view are seeking to appoint a Research Associate who will contribute to NTUs mission of advancing cutting-edge research in software security especially LLM for security and design of more powerful and intelligent agentic software security architecture. With prior experience in security and AI agents including prompt engineering RAG application multi-agent system tool use code analysis and vulnerability detection the candidate brings transferable expertise relevant to the emerging domains of software security systems. The role is expected to support the universitys strategic push in next-generation secure systems and LLM systems fostering new research directions and attracting competitive external funding.

Key responsibilities:

• Conduct advanced research in the areas of software security and the development of powerful intelligent software security systems with a focus on vulnerability detection reachability analysis and proof-of-concept generation.

• Design and implement novel research methodologies to advance the powerful reliability and robustness of next-generation agentic software security 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 NTUs leadership in infrastructure security R&D.

Job Requirements:

• A Master 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 software security multi-agent system design software analysis and software vulnerability detection.

• Experience in autonomous agent system design in computer security (e.g. vulnerability mining and verification source code vulnerability detection malware analysis).

• Excellent programming analytical and research communication skills.

• Ability to work independently and mentor junior researchers in related domains.

We regret to inform that only shortlisted candidates will be notified.