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scientific leaders and researchers. The group of Wang Zhongjian is looking for postdocs working on scientific computing and machine learning related topics. The funding is currently under a MOE grant entitled
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candidate will develop practical learning-based systems for generative 3D/4D scene modelling, world models, and embodied intelligence. Key Responsibilities: Develop and implement machine-learning methods
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), efficient machine learning, and AI systems, translating research innovations into practical solutions for sustainable computing and real-world applications. This role offers opportunities to work at the
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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
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: PhD degree in Computer Science, Computer & Electronics Engineering or other related fields Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep
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• At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs. • Master’s degree
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software infrastructure necessary to bring cutting-edge machine intelligence from simulation into the physical world. Key Responsibilities: • Develop, optimize, and maintain data pipelines for processing
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coding skills including Pandas package, statistical or machine learning packages, access to cloud AI services Experience with cloud services and environments Experience with developing Web or mobile
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evidence generation for translational studies. - Develop, train, validate, and optimise machine learning, deep learning, statistical, or hybrid models for diagnostic, predictive, or decision-support tasks
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, Signal Processing, Machine Learning, or a related field. An advanced degree (eg. Masters/PhD or equivalent) is preferred. Research background in Deep Learning, Large Language Models (LLMs), or Large