Data Analytics For Pore Water Pressure - New Tools For Sustainable Groundwater and Engineering Projects

 (via FindAPhD)
Deakin University
Melbourne, VIC, Australia
Position Type: 
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified
Degree Required: 
Bachelor's (Or Equivalent)


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Project Description

This new PhD scholarship will develop advanced pore pressure analysis for groundwater systems with engineering applications in civil construction, mining operations and water supply systems. Groundwater levels, or pore pressures, go up and down in response to factors such as pumping or injection of groundwater, loads on the surface including storage of water and waste materials, and responses to small stresses in the earth from earth and atmospheric tides.

The patterns of pore water pressure responses can reveal how aquifers and aquitards operate, how much water is stored and if there is hydraulic separation or connectivity. This requires pore pressure data logged accurately at least 8 times a day in bores within strata at different depths, and associated geo-information. Advanced analysis of this pore pressure data can then enable real-time indicators of changing ground conditions, value adding to common groundwater monitoring:
- Evaluating changes in hydraulic loading – important for construction, dams and excavation
- Monitoring changes in soil moisture storage – important for agriculture

There are opportunities to better utilise groundwater data that is commonly collected to benefit engineering projects and sustainable water resource management. This research will develop advanced analytical tools to process water data in both time series and frequency domain.

The research outcomes would be new data analytical tools that are technically robust and user friendly, to determine hydro-geomechanical parameters at strata and site scale. These tools are to compliment and extend tools developed in collaboration with a group of researchers at UNSW Australia (Tim McMillan), University of Melbourne (Dr Tim Peterson) and internationally including Karlsruhe Institute of Technology (KIT) in Germany (Dr Gabriel Rau). Such tools will enable new opportunities to determine in situ properties of the ground for geomechanical and hydrogeological applications. In situ and strata specific estimates on hydraulic and poro-elastic properties of the ground will be used to predict and manage loading and soil moisture.

Research project sites in SE Australia and beyond will include one or more of the following types: groundwater supply systems for town water and agriculture, underground and open pit mine sites including pumped hydro energy storage, civil construction and tunnelling projects, underground injection sites for recycled water or carbon sequestration, and the possibility of shallow geothermal energy projects. The PhD scholar will benefit from international research collaborations and local industry partnerships, for example with government, and engineering companies.

Funding Notes

To be eligible you must:
- Meet Deakin's PhD entry requirements. Preference is given to Australian or NZ applicants, and evidence of meeting English requirement (eg. 7 in IELTS test).
- Be enrolling full time and hold an honours degree (First class) or an equivalent.
- Applications must have a Degree qualification in Civil Engineering, Engineering Geology, Hydrogeology, Environmental Engineering, Geotechnical Engineering, Water Engineering, Computer Science, Physics, Maths, or related technical discipline.
-Applicants must provide details of capability in data analysis, coding capability.
-Applicants must provide evidence of their reporting/publications track record.


EOI can be emailed to the contact below, with a CV detailing experience, evidence of reporting/publications track record and academic transcripts. Please note that EOI from those who do not meet the eligibility listed above (eg. First class grades) may not receive a response, and that a PhD appointment may be made prior to the advertisement end date. Details of data analysis and coding proficiency should include a list of software/coding indicating your level of aptitude (Basic, Proficient, Advanced). Professional experience is highly desirable, so applicants should provide information on work placements and professional roles.