Fully Funded PhD in Characterising flow properties of faults on Malta

Location: United Kingdom
Application Deadline: 27 November 2024
Published: 7 months ago

Follow us for daily updates

Description

Predicting flow properties of faults in the subsurface is challenging.  Although there are predictive tools applicable to siliciclastic lithologies, there remains a data and knowledge gap for carbonate lithologies, particularly those containing marl layers.  This project aims to fill this knowledge gap and improve our understanding and ability to predict whether aquifers within carbonate lithologies in Malta are acting as a homogeneous mass or are compartmentalised due to the faulting.

We will use field data collection, consisting of detailed structural maps of several faults across Malta and Gozo and sample collection for further analysis.  Fault rock samples from the blue clay smears will be measured for porosity, permeability and composition using X-ray diffraction analysis.

Further, a 3D geological framework model of Malta and Gozo will be created for predictions of fault behaviour in the subsurface, along with feeding into groundwater flow modelling.  Known aquifer properties will be used to perform hydrogeological modelling to quality control predicted fault behaviour, to modify and improve algorithms developed during this project using outcrop results.  Results will be used to assess the groundwater structure of Malta.

Results from this project will not only benefit groundwater management for the Maltese Islands but can also be used for groundwater systems elsewhere in similar lithologies, as well as being used for predictions of fault behaviour for CO2 storage sites that contain marl interbeds.

This project is fully funded through the Energy and Water Agency, Malta.  We are looking for a PhD student to start ASAP.

Your Qualifications:

A minimum of 2:1 BSc in a geological degree.

Background knowledge / experience preferable in: structural geology, fault analysis, carbonate petrography, microstructural analysis (optical / SEM), laboratory analysis.

A strong numerical background is encouraged.

Strong fieldwork experience essential.

Familiarity with industry software will be useful, but not essential.

 

Please contact Dr Emma Michie for further information: emma.michie@liverpool.ac.uk

Please mention you saw this ad on ResearchTweet.com

Share this job

Similar Opportunities

Academic jobs in Norwegian University of Science and Technology

PhD Candidate in Fire safety and computational modelling (CFD) of fires in wooden buildings

Deadline: 04.10.24
Location: Norway
Academic jobs in Norwegian University of Science and Technology

PhD Candidate in Privacy Preserving Machine Learning

Deadline: 01.10.2024.
Location: Norway
Academic jobs in Norwegian University of Science and Technology

PhD Candidate in molecular dynamics simulation in mineral processing - IV-99/24

Deadline: 30.09.2024
Location: Norway
Academic jobs in Norwegian University of Science and Technology

PhD Candidate in Human-centric future skills in manufacturing

Deadline: 30.09.2024
Location: Norway
Academic jobs in Norwegian University of Science and Technology

PhD Candidate in sustainable and circular management of plastics from Norwegian Aquaculture Sector

Deadline: 27.09.2024
Location: Norway
Academic jobs in Norwegian University of Science and Technology

PhD candidate in Hydropower Technology

Deadline: 22.09.24
Location: Norway

Recent Opportunities

Academic jobs in University of Oslo

Postdoctoral Research Fellow in Bioinformatics

Deadline: 16th September 2024
Location: Norway
Academic jobs in University of Oslo

Postdoctoral Research Fellow / Researcher - "How do we understand machines that talk to us?"

Deadline: 27th September 2024
Location: Norway
Academic jobs in University of Oslo

PhD Research Fellow in fluid mechanics/soft matter physics

Deadline: 25th September 2024
Location: Norway

Recent Advances in Science