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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations to develop
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. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent RL for Autonomous Drone Swarm to develop learning-based
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deployed inside an XR space. This agent will serve a dual development goal: functioning as an interactive, simulated guide that outlines the features of the UTOPIA Lab and acting as a spatial manipulation
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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(potentially based on AI agents) capable of coordinating both tools, deciding when to trigger drone inspections, and synthesising maintenance recommendations with precise spatial localisation. BINDING
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optimization will be explored to improve service routes (for instance waste collection) operation supporting the adoption of a route planning based on dynamic routes as opposed to the traditional blind
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Social Neuroscience lab (https://www.msn-lab.com) led by Prof. Matthew Apps. The lab studies the cognitive, computational and neurobiological basis of motivation and decision-making in healthy young adults
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range of methodological approaches is relevant for the theme, including qualitative case studies, optimization models, system dynamics modelling, and agent-based modelling. Please note that the project