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and must have no more than five years of post-qualification experience at the time of application, including one to two year(s) of advanced research experience in visual computing, deep learning and/or
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bioinformatics, neuroscience, or deep learning; (e) have demonstrated promise of a high level of creative ability in research and teaching in some subdivisions of his/her field; (f) be highly proficient in
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development, including data processing, model training, optimisation and deployment, etc., and be proficient in using mainstream deep learning frameworks such as TensorFlow and PyTorch to solve practical
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer Vision and Graphics, Statistical Learning, and Bioinformatics. Please visit
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proven track record in teaching excellence that creates deep and lasting impact on student learning and development; (f) outstanding contribution to programme development leading to substantial
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have high-quality peer-reviewed conference/journal papers in deep learning, and natural language processing fields. Applicants are invited to contact Prof. Boris Ng at telephone number 2766 4021 or via
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and social responsibility that resonates throughout the University and beyond. Our projects serve as living laboratories for the social innovation, providing unique opportunities for hands-on learning
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project - “Development of an intelligent process system for ring forging manufacturing based on AI deep machine learning”. Qualifications Applicants should have a doctoral degree plus substantial
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning