Research Fellow (Computer Science/Cyber Security)

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Assist in conducting research on cybercrime and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods. Support the design and implementation of research prototypes and tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement. Collaborate with academic and industry partners by assisting in project-related research tasks, experiments, documentation, and technical discussions in cybercrime and AI security research. Support the preparation of research outputs, including literature reviews, experiment summaries, technical reports, figures, tables, and manuscript drafts for academic publication. Assist in proposal preparation and grant-related documentation in areas such as cybercrime, AI-driven cybercrime measurement, and AI security. Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security. Job Requirements: A PhD in Computer Science, Cyber Security, or a related discipline. Research or applied experience in cybercrime measurement, AI-enabled cybercrime analysis, or LLM security through coursework, projects, internships, or research activities. Knowledge of cybercrime concepts and LLM prompt techniques. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with vulnerability analysis, network analysis, and cybercrime comprehension techniques through coursework, projects, or hands-on practice. Ability to support academic writing and research outputs, including literature reviews, technical reports, experiment summaries, and manuscript preparation for international conferences. We regret that only shortlisted candidates will be notified.