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Field
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We are seeking excellent candidates who aspire to become global leaders in Civil Engineering Hydrodynamics, with a passion to make substantial contribution to exciting delivery and syllabus
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centre for maritime training, education and research. Within AMC, the Centre for Maritime Engineering and Hydrodynamics (CMEH) delivers specialist programs in Naval Architecture and Ocean Engineering
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environments. Ability to manage research tasks and timelines independently. Preferred Qualifications: Experience with coupled hydrodynamic, hydraulic, or sediment transport modeling. Experience with numerical
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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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, Computational Physics, or similar. Who we are We are an interdisciplinary team working primarily with the development of numerical models for hydrodynamics. Current projects involve the model development
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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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impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal
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• Possess at least a PHD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence...
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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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the BioGeomorphology Laboratory flume, field datasets from restored and natural saltmarshes across the UK, and expertise from researchers in coastal ecology, hydrodynamic modelling, AI, and data science. Objectives