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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 hydrodynamics, microbial technologies, and AI-driven lifecycle management for sustainable aquaculture.
The successful candidate will be required to:
. Develop hydrodynamic models of fish cages subjected to waves and currents
. Simulate turbulence-driven mixing, oxygen distribution, and nutrient/waste transport in aquaculture environments
. Conduct field measurements in coastal fish farms using instruments such as ADCP, ADV, water quality sensors, and underwater cameras
. Analyse and integrate field observations into predictive physical models
. Collaborate with interdisciplinary teams including microbiology and AI researchers within the programme
. Possess a PhD in Coastal Engineering, Ocean Engineering, Fluid Mechanics, Environmental Engineering, Civil Engineering, or a closely related discipline.
. Strong background in computational fluid dynamics (CFD) and turbulence modelling (e.g., RANS, LES, or equivalent approaches).
. Experience in environmental flow modelling, hydrodynamics, or coastal processes
. Prior experience with aquaculture systems, fish cage hydrodynamics, or net-pen flows is advantageous.
. Ability to conduct field measurements and offshore deployments.
. Strong publication record and ability to work independently within a multidisciplinary research team.
. Excellent written and verbal communication skills.
. Open to fixed-term contract.
Job ID: 144520711