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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)
- School of Sciences
- The Chinese University of Hong Kong
- The Hong Kong University of Science and Technology (Guangzhou)
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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Engineering, Computer Science, Artificial Intelligence, Computer Vision, Mobile Robotics, Machine Learning, Data Science and Analytics, Applied Mathematics. Location: Taicang, Greater Suzhou, China ABOUT XJTLU
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Skills: • Prior experience in quantum information, quantum computing, machine learning. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents: • Personal CV
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to demonstrate: A PhD in a relevant humanities, social science, computer/data science, computational social science, computational linguistics, or related field, with a research profile engaging with AI, data and
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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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, 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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(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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-driven Drug Discovery/Biomaterials/Life Science Applications Cognitive Intelligence and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM
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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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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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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