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Research Assistant/Associate High Spatial Resolution Magnetic Resonance Imaging of Porous Materials (Fixed Term)

A Research Assistant/Research Associate position is available for 3 years,in Prof Lynn Gladden's group in the Department of Chemical Engineering and Biotechnology starting no later than 1 October 2017. The project is sponsored by Shell.

Applicants should have previous experience in MRI or compressed sensing and image reconstruction techniques. The project is based in Cambridge but the PDRA will interact with collaborators in Shell and Imperial College, London.

There is increasing interest in being able to optimise and design chemical process operations in silico. To achieve this, it is important to construct and design models which incorporate the correct physics and chemistry. Currently when characterising the structure of a porous material, X-ray tomography gives the highest spatial resolution. However, X-ray methods cannot give insights into properties such as changing surface chemistry within the porous materials, and the flow and diffusion characteristics of molecules moving within the pore structure. In contrast, magnetic resonance techniques have the ability to make chemically-specific measurements of adsorption, diffusion and flow but the spatial resolution that can be achieved is 1-2 orders of magnitude lower than is obtained with X-rays.

The aim of this project is to use the latest techniques in data under-sampling and compressed sensing to increase the spatial resolution of MRI experiments. Our target is to achieve at least an order of magnitude increase in spatial resolution whilst still being able to encode the image voxels with information of molecule-surface interactions, diffusion and flow. The methods we develop will initially be optimised for characterisation of rock cores but will be transferable to other porous media in engineering and medical applications.

Another aspect of the work will be to visualise the imaging data acquired and to explore data fusion techniques to merge these data with data recorded from other imaging techniques such as X-rays. The long-term objective of the work is to explore how the MRI datasets we acquire can be used in combination with X-ray tomography data for use in predictive modelling of flow in rocks cores.

Further information about the Department and Prof Gladden's group is available here:

For an informal discussion about the post, please contact Prof Lynn Gladden

Fixed-term: The funds for this post are available for 1 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Applicants should ensure their application is complete and submitted by midnight on the closing date.

Please quote reference NQ11404 on your application and in any correspondence about this vacancy.

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Further information

Apply online