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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH)
- Beijing Academy of Quantum Information Sciences
- Beijing Institute of Mathematical Sciences and Applications
- Chinese Academy of Sciences
- Southwestern University of Finance and Economics
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- UNIVERSITY OF MACAU
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Field
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, Interpretability and Transparency, Logics and Analysis, etc. Scientific Machine Learning: PDE Numerical Solutions, Dynamical systems, etc. Deep/Reinforcement/Deep Reinforcement Statistical Analysis and Tuning
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competitions. Excellent communication skills in English; Chinese language skills are a plus Industry experience preferred Must have a research background in Artificial Intelligence, Machine Learning, or Deep
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Intelligence. We seek candidates whose research and teaching expertise aligns with one or more of the following priority areas: Foundation Models and Large Language Models (LLMs) Machine Learning Theory and
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: Programming 1(Python) Fundamentals of AI Data Analytics & Machine Learning Deep Learning Develop course materials and curricula aligned with international standards and industry practices in AI, machine
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, CUDA), numerical linear algebra, sparse matrix computation, and low-latency system design. · Machine Learning and AI Theory/Algorithm Design: optimization theory and algorithm design for deep learning
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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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Physics and Imaging Technology, AI-driven Drug Discovery/Biomaterials/Life Science Applications Cognitive Intelligence and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep
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: Algorithmic Optimizations, Interpretability and Transparency, Logics and Analysis, etc. Scientific Machine Learning: PDE Numerical Solutions, Dynamical systems, etc. Deep/Reinforcement/Deep Reinforcement
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deep learning, Transformer architecture, reinforcement learning, or Agentic AI. Practical experience with programming languages (e.g., Python, TensorFlow/PyTorch) is required. Have a keen interest in AI
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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