excellent MSc in Computer Science, Machine Learning, Robotics, Control, or related technical fields - o PhD in Machine Learning, Reinforcement Learning, Robotics, Generative AI, or related areas preferred - o strong publication record in leading AI, machine learning, and robotics venues such as NeurIPS, ICLR, ICML, CoRL, RSS, ICRA, AAAI, IJCAI, or similar - Your work will focus on how large-scale AI models can acquire robust, generalizable, and goal-directed behaviors through reinforcement learning, multimodal experience, and interaction with learned or simulated environments. In this context, you will investigate how predictive models of environment dynamics, latent state, and agent-environment interaction can support policy learning, planning, behavior synthesis, and evaluation. * Your work will bridge foundational research and practical implementation, and will contribute to the design of architectures ...
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