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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 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.
We invite qualified and passionate academics to apply for a tenure-track Associate Professor position in College of 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.
The position is open for candidates working in all areas of computer science and engineering. However, we are particularly interested in candidates working at the frontiers of the following high priority areas: NLP and Machine Learning
Responsibilities:
Requirements:
Review of applications and shortlisting decision will be on an on-going basis until the positions are filled. Interested applicants are invited to submit their applications through the NTU career portal by clicking the Apply button. To facilitate the process, please submit the following documents if applicable.
- Full Curriculum Vitae
- Statement of Teaching and Research
- Research sample(s)
- Letters of Recommendation(s)
Date Posted: 08/11/2024
Job ID: 99611769