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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement PhD position in a CO2 storage project in Quebec (Canada)

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European Geosciences Union

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PhD position in a CO2 storage project in Quebec (Canada)

Position
PhD position in a CO2 storage project in Quebec (Canada)

Employer
Institut national de la recherche scientifique logo

Institut national de la recherche scientifique

Institut national de la recherche scientifique (INRS) is dedicated exclusively to graduate level research and training. The institute has built its success on interdisciplinarity, innovation, and excellence. INRS has been ranked number one university in Canada for research intensity for nearly a decade.

Homepage: https://inrs.ca/


Location
Québec, Canada

Sector
Academic

Relevant divisions
Energy, Resources and the Environment (ERE)
Geochemistry, Mineralogy, Petrology & Volcanology (GMPV)

Type
Full time

Level
Student / Graduate / Internship

Salary
PhD scholarship

Required education
Master

Application deadline
Open until the position is filled

Posted
30 April 2025

Job description

The geological storage of CO2 is a key technology among the solutions being considered to fight against climate change. This process involves injecting previously captured CO2 into deep and suitable geological formations, such as depleted oil and gas reservoirs or saline aquifers, where it will remain trapped through various mechanisms. The research project aims to put in place the conditions that will allow the start of a first pilot project of CO2 storage in Quebec, Canada. The PhD student will be responsible for the literature review on laboratory geochemical reactivity monitoring assays in geological storage. They will have to design and plan the experiments by defining the experimental conditions such as temperature, pressure, time and the lithologies studied. They will be create a thermodynamic and geochemical model using the PHREEQC software in order to simulate the chemical reactions involved. The interpretation of the results will consist of comparing the experimental data with the model’s predictions to identify relevant correlations. Finally, they will have to use these analyses to refine the reactivity forecasts and contribute to the improvement of the interpretation model.