CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s 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 NTU’s 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 https://www.ntu.edu.sg/cysren.

We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent systems, addressing security challenges, and exploring information propagation theories to enhance the robustness and efficiency of these systems in real-world applications.

Key Responsibilities:

• Designing and developing multi-agent systems for large language models (LLMs).

• Investigating the security challenges and information propagation theories in multi-agent system.

• Writing high-quality research papers based on research findings.

• Developing research proposals related to multi-agent systems and their applications.

Job Requirements:

• PhD degree in Computer Science, Artificial Intelligence, or related fields.

• Strong research background in multi-agent systems and large language models.

• Expertise in security issues and information theory applied to multi-agent systems.

• Proven research experience in publishing high-quality research papers in top-tier conferences and journals.

• Proficiency in advanced programming and computational modeling tools (e.g., Python, distributed systems).

• Good written and oral communication skills.

• Entry level candidates are welcome to apply.

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