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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- Beijing Normal-Hong Kong Baptist University
- Hong Kong University of Science and Technology(Guangzhou)
- Jinan University - University of Birmingham Joint Institute
- School of Sciences
- The Chinese University of Hong Kong
- The Hong Kong University of Science and Technology (Guangzhou)
- UNIVERSITY OF MACAU
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Science and Technology of China
- Zhejiang University
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Field
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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fluid mechanics, computational geometry, meshing, computational graphics, computational vision, or scientific machine learning in general. Successful candidates will join a community of researchers in
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that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute substantially to both high
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of interdisciplinary AI and data science are also encouraged to apply: (1) AI for Science, including AI/ML for scientific discovery, foundation models for science, scientific machine learning, and AI applications in
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning
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technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning
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analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning, online and hybrid learning environments Digital pedagogy, instructional
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following areas, especially where these intersect with AI and digital technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine
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of undergraduate and postgraduate programmes, ensuring an excellent studio-based learning experience and alignment with relevant professional and disciplinary expectations. Integrate emerging technologies, including