10 deep-learning-phd "https:" Fellowship positions at Hong Kong Polytechnic University
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experience at the time of application. Preference will be given to those with: (a) a PhD degree in GIScience, Geomatics, Computer Science, Big Data, Machine/Deep Learning, Artificial Intelligence or a
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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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are designed for seasoned professionals who can blend deep technical expertise in systems programming with a strategic understanding of quantitative finance, driving the project from concept to a robust
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of artificial intelligence in language teaching and learning. He/She will be required to: (a) conduct independent and collaborative research on individual differences and second language acquisition; (b
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pursuing a PhD degree. Applicants are invited to contact Prof. Rachel Yee Wai Yee at telephone number 2766 5608 or via email at rachel.yee@polyu.edu.hk for further information. Conditions of Service
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in the research project – “Self-paced learning platform powered by efficient graph retrieval-augmented generation”. Qualifications Applicants for the Postdoctoral Fellow posts should have a doctoral
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project - “Develop an analysis tool to estimate dynamic performance of floating structures under environmental loading”. Qualifications Applicant should: (a) have a PhD degree in Ocean Engineering or
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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twelve months] Duties The appointees will assist the project leader in the research project - “A multimodal intelligence-enabled strategy learning approach for cognitive human-robot collaborative assembly