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expertise in areas such as approximate inference, Bayesian statistics, continuous optimization, information geometry, etc. We work on a variety of learning problems, especially those involving supervised
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mathematics/statistics/computer science, willing to specialize their research on large language models (LLMs). The successful candidate will contribute to the development of trustworthy LLMs by focusing
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information is processed in the brain and how the brain circuits adapt to the environment. Drawing on analytical techniques from statistical physics and information theory, we probe the key functional
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physics groups including string theorists. The overview of KMI and members can be found at https://www.kmi.nagoya-u.ac.jp/ ; Requirements: A PhD (or close to completion) in physics or related disciplines