Research Fellow ( Computer Science/Cybersecurity)

About Ntu

• 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.
• Research Fellow to contribute to NTU’s mission of advancing trustworthy AI and AI security.
• The role will support NTU’s high-impact research in trustworthy AI, while fostering collaborations within the University and with external academic and industry partners.

Responsibilities

• The successful candidate will conduct research on emerging security and trustworthiness challenges across the lifecycle of AI systems, including model training, deployment, and inference.
• The research aims to develop novel and practical methods for identifying, understanding, and mitigating security risks in AI systems, and to improve their robustness and trustworthiness in real-world applications.
• Responsible for research and development of methods for trustworthy AI, with a focus on uncovering security vulnerabilities and developing mechanisms for the secure and reliable deployment of AI systems.
• Responsible for the implementation and evaluation of proposed methods.
• Lead or contribute to research and industry projects, and assist in the preparation of research grant proposals.
• Prepare and publish high-quality papers in top-tier conferences and journals.

Requirements

• Ph.D. degree in Computer Science, Cybersecurity, or a related discipline.
• Strong research background in AI, cybersecurity, privacy, or related areas.
• Demonstrated capability to conduct independent and innovative research.
• Demonstrated publication experience in top-tier security conferences and journals.
• Experience in AI model and system development, with proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong analytical, communication, and collaboration skills.
• We regret that only shortlisted candidates will be notified.

Hiring Institution

NTU