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.
