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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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proving, funded by the Advanced Research + Invention Agency (ARIA): https://agentic-sel4.github.io/ The project, joint with Andrei Popescu at the University of Sheffield and Toby Murray at the University
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molecular drivers. Develop AI agents and LLM-based computational workflows for biomedical research, including automated dataset discovery, quality assessment, multi-omics analysis, biological interpretation
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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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of Isabelle infrastructure for AI-assisted theorem proving, including proof-data extraction, interaction with proof states, and integration of AI agents into Isabelle-based verification workflows. Work closely
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for monitoring and managing animal environments. Highly motivated in design and development of reliable LLM-based agents, integrating APIs and indoor environmental control systems, and translating natural
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal
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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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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions