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Tracking dynamic time-dependent groundwater vulnerability using satellite scatterometer observations, low-cost sensing technologies and land-use stochastic models


Research

About the Project

Tracking dynamic time-dependent groundwater vulnerability using satellite scatterometer observations, low-cost sensing technologies and land-use stochastic models

Groundwater vulnerability risk studies are crucial to understand and determine the cause-effect relationship between groundwater quality and both natural and human-related factors to develop effective groundwater protection plans. Risk mapping for areas where groundwater is most vulnerable to contamination and identifying primary factors influencing the contamination level, especially the ones related to land-use, are hugely important to manage and protect groundwater and, as a result, human health. This research project will enable breakthrough advances to improve the mapping of hazardous areas with different levels of vulnerability and risks and to assess the efficacy of land use planning toward groundwater protection.
The research project aims to advance the use of integration of remote sensing, GIS and statistical methods to assess groundwater vulnerability, spatially and temporally, by explicitly introducing the time dimension and land use data in the analysis.
The research team is led by Dr Salem Gharbia, who specialises in integrated environmental systems modelling. In addition to Dr Leo Creedon, Director of the Mathematical Modelling Research Group (MMRG) at IT Sligo, Dr Noelle Jones of Galway-Mayo Institute of Technology and Prof Francesco Pilla of the Spatial Dynamics Lab at University College Dublin. The project will also be supported by Prof Laurence Gill of Trinity College Dublin.
The ideal candidate is a highly motivated individual with a first-class or high second-class honours degree/master’s in environmental or civil engineering, environmental science, hydrology or a related discipline with a strong component of hydrological/groundwater modelling.
The study includes an essential component of fieldwork at the selected case study (field site), and therefore, practical experience in fieldwork will also be an advantage. Coding skills in R, Python or MATLAB are desirable. Previous research experience in environmental modelling will be advantageous.
FUNDING SOURCE: CUA Bursary 2020 with a maintenance grant of €13,000 p.a. and up to €4,000 p.a. for expenses as approved. Tuition fees (currently €819 p.a.) will be paid by the Institute for all holders of student bursaries. Students are required to pay their registration fee. The registration fee for 2018-2019 is €3,000 p.a.

DURATION: Funding will be initially for a maximum of 2 years full time Master’s registration. This research has potential to transition into a PhD up to a maximum of 4 years.

To Apply
Please send by email to Dr Salem Gharbia, ()
And CC Veronica Cawley

With
1) A detailed cover letter
2) A full curriculum vitae
3) Academic transcripts for each year of study
4) Contact details of two academic referees

Applicants whose first language is not English must submit the original certificate of completion of an English test.

Please insert the subject line ‘IT Sligo CUA Bursary 2020’ with your electronic correspondence.

Closing Date for Applications: 17:00 local time, 21st of September 2020


Funding Notes

See Above

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