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of Communication and Information (WKWSCI) to integrate geospatial modelling, behavioural risk-perception research, agent-based simulation, and community engagement design in support of Singapore’s coastal adaptation
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agentic AI/LLMs and confirming your availability for a two-year minimum commitment. A detailed Curriculum Vitae (CV) including links to public code repositories or portfolio projects (e.g., GitHub
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. • Strong background in autonomous robotic systems, unmanned aerial systems (UAS), or multi-agent robotics. • Demonstrated expertise in one or more of the following areas: o Counter
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simulations that can aid in policy design. The Research Assistant will be work closely with the Principal Investigator and other group members on this project. Key Responsibilities Develop LLM-based agent
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architecture, and prompt deisgn to the empirical validation of the simulations. Key Responsibilities Develop LLM-based agent architecture representing diverse personas for multilingual and multicultural
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multi-agent robotic systems, drone swarms, or autonomous decision making. Experience in integrating prediction, planning, decision-making, and control modules within a simulation or experimental framework
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analytics, or network analysis. • Experience in agent-based modeling or simulation is highly desirable. • Demonstrated ability to publish in internationally recognized peer-reviewed journals
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal