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to develop 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
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with researchers across the inter-discplinary team Experience / interest in Agent-based modelling or synthetic user research platforms Social network principles like preferential attachment, opinion
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the integration of both ecological and social data using platforms such as Marxan or prioritizr Experience with agent-based ecological modelling approaches (e.g., using R, NetLogo, or similar) Working
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analysis. Experience with agent-based or logic-based approaches is advantageous. Demonstrated ability to translate biological and clinical questions into practical computational frameworks, bridge wet
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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
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response to extreme weather events (e.g., flooding, heat waves) with agent-based modeling. Publication in scientific conferences and high-impact journals. Supervision of Bachelor and Master theses
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the link between feedwater chemistry, foulant composition and cleaning performance across a range of industrial cases, the project aims first to establish the mechanisms of cleaning and, based on that
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in Applied Mathematics or a closely related discipline. Demonstrate a strong research track record in areas aligned with fluid dynamics or cell motility. Bring experience in continuum or agent-based
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: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and interdisciplinary collaborative research
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cell motility. Bring experience in continuum or agent-based modelling and in developing computational simulations. Collaborate effectively within multidisciplinary teams and contribute positively to a