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. We are seeking a highly motivated Research Fellow to contribute to NTU’s mission of advancing trustworthy AI and AI security. 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. 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. Key responsibilities: 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. Job 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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Research Fellow ( Computer Science/Cybersecurity).

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