Research Fellow (Computer Science/Cybersecurity)

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 lead innovative research in advanced threat intelligence collection platforms. The role focuses on analyzing malware, malicious components, and threat intelligence data to address emerging challenges in software and supply chain security, driving impactful research outcomes and advancing cybersecurity knowledge.

Key Responsibilities:

• Conducting research on conceptualizing and enhancing advanced threat intelligence collection platforms using cutting-edge technologies.

• Identifying and integrating diverse and reliable threat intelligence sources to build a comprehensive data repository.

• Designing and implementing multi-agent frameworks to optimize the scalability and efficiency of intelligence collection processes.

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

Job Requirements:

• PhD degree in Computer Science, Cybersecurity, or a related discipline.

• Strong publication record in top-tier conferences or journals, particularly in software and supply chain security.

• Minimum 3 years of research experience in threat intelligence, malware analysis, and intelligence system design, with expertise in large-scale data collection and analysis platforms.

• Proficiency in Python, Go, and Java, with hands-on experience in cybersecurity tools, cloud computing, containerization (e.g., Docker), and scalable architecture design.

• Solid research experience in multi-agent system design and malware analysis frameworks.

• Good written and oral communication skills.

• Entry level candidates are welcome to apply.

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