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About the Project

The project outlines the modelling of physical and chemical processes in the system of crop-soil-nutrients interaction. The PhD candidate will work in the Integrated Multiscale Porous Media Research (IMPRES) Group which has an established track record in developing novel computational and experimental research related to porous media applications.

The applicant needs to be competent in computational research and familiar with programming (e.g. C++, FORTRAN), linear algebra and numerical solution of partial differential equations. The PhD student needs to have excellent team working and willing to collaborate with other team members of IMPRES. Additionally, professional writing of reports and scientific papers is essential for this project.

The applicant should be resourceful, critical thinker, extremely motivated toward high quality research, and ethical in research and collaboration with others.
For further information please contact Dr Vahid Niasar:

About IMPRES group:

IMPRES group - established in 2014 by Dr. Vahid Niasar- develop computational and experimental techniques to investigate multiphase flow, reactive transport, solid-fluid and fluid-fluid interfaces, and non-classical theories of porous materials to address fundamental problems in engineering and natural applications such as reservoir engineering, hydrogeology, environmental engineering, agricultural engineering, fuel cells, and membrane. Our mission is to enhance the in-depth understanding of fundamental porous media processes as well as to improve the numerical upscaling methods for multi-scale coupled problems.

Current research portfolio covers:
Fundamentals of multi-phase flow in porous materials,
Crop-soil interaction and nutrient cycles,
Micro-model experiments and image analysis,
Digital rock simulations and experiments,
Pore-to-continuum scale multiphysics modelling,
Multiscale and hybrid modelling.

As well as applications:
Contaminant transport and soil remediation,
Food security and agriculture,
Fuel cells and membranes,
Geological CO2 sequestration modelling,
EOR (LowSal, ASP),
Unconventional oil and gas reservoirs.

Funding Notes

Applicants should have or expect to achieve at least a 2.1 in engineering disciplines with evident high-quality track record in engineering mathematics, computer programming and simulations

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