17 data-analytics-phd-"https:" positions at Hong Kong Polytechnic University in Hong Kong
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teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more information about the Department. The Department is seeking a highly motivated and suitably qualified individual
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60 faculty members in the Department. Please visit the website at https://www.polyu.edu.hk/abct/ for more information about the Department. Duties The appointee will be required to: (a) conduct
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machine learning. There are currently 54 academic staff and about 105 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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, management science and statistics, FinTech, data science and machine learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at https
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have: (a) a PhD in Engineering, Science, or a related discipline, specialising in Transport AI and Data Analytics, Operations Research, Smart Mobility, Resilience and Sustainable Transportation
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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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the development of computing education in the territory. With over 45 years of success, COMP plays a strong role in undertaking world-class research including but not limited to the areas of Big Data Analytics and
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the development of computing education in the territory. With over 45 years of success, COMP plays a strong role in undertaking world-class research including but not limited to the areas of Big Data Analytics and
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) and Artificial Intelligence (AI). The Department envisions to cultivate a comprehensive curriculum that encompasses key research pillars such as Big Data Analytics and Management, Machine Learning and