Research Fellow (Computer Science/Cybersecurity/Artificial Intelligence)

NTU is seeking a Research Fellow to drive cutting-edge research and development in AI-driven cybersecurity, focusing on intelligent and explainable automation for Security Operations Centers (SOCs). The successful candidate will design and develop AI-driven, knowledge-based agentic systems, build explainable AI models, and collaborate with industry partners for system integration and validation.

Requirements

• PhD in Computer Science, Cybersecurity, Artificial Intelligence or related fields
• Strong background in AI/ML, particularly in interpretable AI, generative models, reinforcement learning or agent-based systems
• Experience in large-scale data processing, signal analysis or real-world system deployment
• Proficiency in programming (e.g., Python) and ML frameworks (e.g., PyTorch, TensorFlow)
• Experience with edge deployment, system integration, or containerization is an advantage
• Strong publication record in reputable journals/conferences, with ability to conduct independent research
• Good communication skills and ability to work in a team with both academic and industry stakeholders
• Demonstrated ability in developing AI models for complex applications (e.g., healthcare AI, wearable systems, or intelligent platforms)

Benefits

• Competitive salary
• Attractive benefits package
• Opportunities for career growth and development