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An exciting opportunity awaits at a leading university in Singapore, where you can contribute to groundbreaking research and education in Computing and Data Science. Join a vibrant community dedicated to shaping the future of AI and Data Science, with a focus on high-priority areas such as Computer Security and Edge Computing. This role offers a stimulating environment for professional growth and collaboration, ideal for passionate individuals eager to make a significant impact in academia. If you are ready to inspire the next generation of leaders and innovators, this position is perfect for you.
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. Today, we are ranked #2 for AI and #6 for Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
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.
CCDS invites qualified academics who possess a PhD in related disciplines to apply for a number of faculty positions in Computing and Data Science. We seek individuals with exceptional promise for or a proven record of research achievements within their chosen field of research. They should also demonstrate strong ability for effective undergraduate and graduate level teaching. Candidates must have vision and an interest in defining the research frontier as well as educating our next generation of young leaders in this rapidly evolving field. Candidates should also demonstrate the ability to combine theoretical knowledge with practical development of computational solutions and systems and are able to lead or work as part of a multidisciplinary team.
The position is open for candidates working in all areas of computing and data science. However, we are particularly interested in candidates working at the frontiers of the following high priority areas: