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Postdoctoral Associate (Reinforcement Learning for Embodied Intelligence and Human Learning)
singapore-mit alliance for research and technology centre
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singapore, Singapore
Location
singapore
Posted
June 09, 2026
Commute
Local Area
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Job Description
Project Overview
We are seeking one Postdoctoral Associate in Computer Science to join the research program 'Mens, Manus and Machina-How AI Empowers People, Institutions and Cities in Singapore (M3S).' Successful applicants for this position will have the opportunity to work on cutting-edge research at the intersection of reinforcement learning (RL), world models, embodied intelligence, and human learning. The research targets a new generation of intelligent agents that learn through sequential interaction, and is organized around two pillars united by a shared reinforcement learning foundation. Embodied intelligence. This part focuses on robotic agents operating in unstructured 3D environments (homes, offices, industrial sites, shopping malls). The work centres on (a) model-based and hybrid RL algorithms built on multi-modal world models (vision, language, proprioception, action) that support long-horizon planning, principled exploration, and sim-to-real transfer (b) compositional ...
We are seeking one Postdoctoral Associate in Computer Science to join the research program 'Mens, Manus and Machina-How AI Empowers People, Institutions and Cities in Singapore (M3S).' Successful applicants for this position will have the opportunity to work on cutting-edge research at the intersection of reinforcement learning (RL), world models, embodied intelligence, and human learning. The research targets a new generation of intelligent agents that learn through sequential interaction, and is organized around two pillars united by a shared reinforcement learning foundation. Embodied intelligence. This part focuses on robotic agents operating in unstructured 3D environments (homes, offices, industrial sites, shopping malls). The work centres on (a) model-based and hybrid RL algorithms built on multi-modal world models (vision, language, proprioception, action) that support long-horizon planning, principled exploration, and sim-to-real transfer (b) compositional ...