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under the project Principal Investigator (PI), CRiHSP Director, Prof Jose M Valderas. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future
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the position is filled. For further enquiries, please contact Dr Sarah Tan at sarah.tan@nus.edu.sg or A/Prof Falk Mueller-Riemenschneider at falk.m-r@nus.edu.sg. We regret that only shortlisted candidates will
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
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The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The research fellow will work in the field of civil engineering with Asst Prof. Kim
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instructing or supervision of labs and tutorials. Prior teaching experience is preferred for candidates. It would be good if the candidate can also explore areas such as multimodal algorithms/techniques
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for autonomous driving. This project aims to advance the state of the art in visual perception algorithms and real-time systems for autonomous racing, pushing the boundaries of performance, speed, and precision
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and will provide chances to collaborate with researchers at both national and international institutes. Please contact Assistant Prof. Xiangzhong (Remi) Luo (xzluo.remi@nus.edu.sg ) with any questions
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for autonomous driving. This project aims to advance the state of the art in visual perception algorithms and real-time systems for autonomous racing, pushing the boundaries of performance, speed, and precision
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Materials, Bioinspired Materials and Sustainable Materials. In MSE, Prof. Li Shuzhou is interested in exploring cutting-edge scientific opportunities in computational and theoretical material modelling
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning