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algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in
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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
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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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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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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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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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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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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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computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job
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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