University of Melbourne
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5 days ago
PhD in Real-Time Control of Urban Stormwater and In-Stream Hydrodynamics University of Melbourne in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD includes a tax-free scholarship of AUD 39,500 per year, with a small supplement possibly available.
Country
Australia
University
University of Melbourne

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About this position
New PhD opportunity at the University of Melbourne on connecting real-time control of urban stormwater to in-stream hydrodynamic conditions.
The project focuses on how real-time control (RTC) of stormwater storages such as tanks, ponds, and wetlands affects downstream flow routing, stream hydraulics, physical habitat, and geomorphology. A key case study is the Monbulk Creek smart water network, with an aim to generalise findings beyond the study area using modelling approaches.
Possible research directions include: (1) flow routing effects from stormwater release sites to target reaches, including release size, streamflow, and seasonality; (2) development and testing of geomorphic objectives for RTC of urban stormwater; and (3) simulations of RTC algorithm performance incorporating habitat and geomorphic objectives.
Applicants should have strong numeric and data analysis skills, plus excellent written and verbal communication. Essential background includes surface hydrology, stream hydraulics, and fluvial geomorphic processes. Helpful experience includes hydrodynamic modelling (TUFLOW, HEC-RAS), hydrologic time-series analysis, sediment transport modelling, and programming in Python and R.
Funding includes a tax-free scholarship of AUD 39,500 per year, with a small supplement possibly available.
Interested candidates are invited to contact Tim Fletcher or Kathy Russell directly for more information.
Funding details
The PhD includes a tax-free scholarship of AUD 39,500 per year, with a small supplement possibly available.
What's required
Excellent numeric and data analysis skills are required, along with strong written and verbal communication skills. An understanding of surface hydrology, stream hydraulics, and fluvial geomorphic processes is essential. Experience with hydrodynamic modelling (e.g. TUFLOW, HEC-RAS), hydrologic time-series data analysis, sediment transport modelling, and programming/data analysis in Python and R is favourable.
How to apply
If interested, reach out to Tim Fletcher or Kathy Russell to express interest and discuss the project. No formal application link is provided in the post.
More information can be found here
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