University of Cambridge

Developing advanced MRI techniques to study slow flows in porous media

 
Published
Closing Date
WorkplaceCambridge, East of England, UK
Category
Position

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Developing advanced MRI techniques to study slow flows in porous media .

Due to funding regulations, this studentship is only available to UK and EU nationals. Students must meet the eligibility criteria at: https://www.graduate.study.cam.ac.uk/finance/fees/what-my-fee-status Overseas nationals are not eligible and should not apply.

(3-year fully-funded PhD candidateship with Professor Lynn Gladden and Dr. Andy Sederman to start 1 October 2020.)

A quantitative understanding of gas and liquid flows in complex solid geometries is a key challenge from both an academic and industrial perspective. The real world applications of such problems are widespread and include many areas of current importance such as soil remediation, sea ice transport, aquifer flows, carbon capture and storage (CCS) and fluid flow in rock formations. Transport phenomena in many of these application involve slow flows where the timescales associated with these applications is very large. Magnetic resonance imaging (MRI) is unrivalled in its ability to characterise and quantify, non-invasively, fluid flow, in the form of flow and diffusion in optically opaque systems. However, a recurring challenge for magnetic resonance based mass transport measurements is its capacity to differentiate between the coherent (bulk) fluid flow and the random (diffusive) motion for such slow flows. This project will involve fundamental research into developing new experimental MRI acquisition strategies combined with novel non-uniform sampling and reconstruction methods such as compressed sensing. Such an approach aims to separate the bulk fluid motion and the random diffusive element of the fluid flow thereby providing benchmark descriptors that may be used to validate numerical simulations. You will join part of a world leading team and can be expected to be trained in state of the art magnetic resonance data acquisition techniques and data/image analysis methods.

The project requires a talented individual with good experimental skills, competence in data analysis and basic mathematical skills.

Applicants for the studentship should have a First Class (or a high 2:1) degree in a relevant discipline such as chemical engineering, engineering, chemistry or physics. The project will start on 1 October 2020. The industrial partner is Shell Global Solutions International B.V.

Standard admissions criteria apply; please see: https://www.graduate.study.cam.ac.uk/courses/directory/egcepdcng/requirements

The start date for this PhD is 1st October 2020.

To apply for the studentship:

  • Please ensure that you are eligible by visiting: https://www.graduate.study.cam.ac.uk/finance/fees/what-my-fee-status

  • Submit a formal application for admission to study Chemical Engineering via the University’s Graduate Admissions Office ( https://www.graduate.study.cam.ac.uk/ ), noting Prof Lynn Gladden and Dr Andy Sederman as the prospective supervisors and quoting reference NQ22861 in the research proposal.



  • Please quote reference NQ22861 on your application and in any correspondence about this vacancy.

    The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

    The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

    Department/Location

    Department of Chemical Engineering and Biotechnology

    Reference

    NQ22861

    Category

    Studentships

    Published

    18 March 2020

    Closing date

    14 April 2020

    Web

    In your application, please refer to myScience.uk and reference JobID 182453.

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