Research Associate (Computer Science / Computer Engineering)

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.

The Research Associate will support the development of advanced research prototypes and technical capabilities for the Agentic AI project.

Responsibilities:

• Responsible for the design and development of software components for the agentic AI framework.

• Develop algorithms and system architectures for autonomous AI agents, including reasoning, planning, and tool interaction modules.

• Implement research prototypes and experimental platforms for evaluating AI agent capabilities.

• Conduct experiments and performance evaluations for AI models and agent systems.

• Improve system robustness, scalability, and efficiency through iterative development and testing.

• Collaborate with researchers and engineers to integrate AI agent capabilities into practical applications.

• Prepare technical documentation, reports, and research publications.

• Support the management of project deliverables and research milestones.

Requirements:

• Master’s degree in Computer Science, Computer Engineering, or related discipline

• Strong programming experience in Python or similar languages

• Knowledge of machine learning, AI systems, or autonomous agents

• Experience with scalable software systems and cloud-based development environments

• Familiarity with software engineering practices including version control and testing

• Strong analytical, problem-solving, and communication skills

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