Postdoctoral Position in MILES Team (Paris Dauphine) on Frugal Machine Learning and Deep-Learning for Physics

A two-year postdoctoral position is available in the MILES team at Université Paris Dauphine PSL. The research will focus on various topics in machine learning and deep learning, including fast and frugal adaptation, physics-informed foundation models, data efficiency in training, theoretical guarantees of frugal deep learning, and applications to natural language processing and speech processing. For more information, please refer to the document here.