Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas such as transfer learning, learning from demonstration, reinforcement learning, perception, robot control and representation learning. The ideal candidate should have a keen interest in producing new, open science to make embodied agents more intelligent. Some research directions of interest are: investigate algorithmic development and application of foundation models for embodied AI and/or robotics, representation learning for Embodied AI tasks, planning for dynamic in-hand manipulation tasks, developing the next generation of simulation platforms for embodied AI research (e.g. AI Habitat), performing broad dexterous and functional manipulation (rigid to deformable objects; in-hand to against the environment) in a generalizable manner, tactile and multimodal perception, sim-to-real transfer for dexterous manipulation and continual learning in interactive environments.