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Field
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numerical models to quantify how hydrodynamic forcing influences sediment transport, sediment carbon retention, and blue carbon accretion in Singapore’s mangrove and seagrass habitats. The work will involve
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on an industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate
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(NTU), Singapore. The successful candidate will work on research related to the hydrodynamic behavior of floating structures. Key Responsibilities: Conduct wave flume tests and develop numerical
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This position focuses on physics-based modelling of hydrodynamics, turbulent mixing, and nutrient transport in fish farms. The research forms part of an interdisciplinary programme integrating
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to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow
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of salinity data collected during the field surveys and through the monitoring stations; Calibration and validation of analytical and numerical hydrodynamic models based on the collected data. The models have
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hydrodynamic modelling by integrating hydrodynamic, morphological, and geotechnical model. The successful candidate will work on developing and improving CFD modelling. The research may involve observational and
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for synchronized operation of multiple floating and jack-up platforms. • Develop MATLAB/Simulink models integrating hydrodynamic inputs from CFD and seakeeping analyses. • Conduct simulation studies
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with the overall programme. This implies perform and support in vivo work using HCC models induced via hydrodynamic gene transfer. You will be selecting and adapting experimental protocols, analysing and
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. This interdisciplinary initiative connects agentic AI framework design, large language models (LLMs), and interactive digital twins with real-world municipal decision-making. The project focuses on deploying auditable