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Tomographic imaging for geophysics and medical physics

Project Description

Tomography is an imaging modality that is widely exploited across the electromagnetic spectrum in diverse fields such as geophysics and biomedical engineering. When the technique is applied with active phase-coherent sensors, it is possible to obtain precise measurements of vertical displacement of layers within a structure under test. Application examples may include the motion of internal layering within an ice sheet, subsurface water flow and the mechanical properties of tissue inside a biological specimen.

The project will involve development of robust algorithms for accurately retrieving displacement from experimental time-lapse datasets available within the collaborating team based in Cambridge and London [1, 2]. As a PhD candidate, you will attain expertise in tomographic imaging using computational techniques, as well as proficiency in the design of high frequency imaging systems using facilities available in the Engineering Department.

The successful candidate will have, or expect to have, a UK Honours Degree (or equivalent) at 2.1 or above in either electronic engineering, physics, mathematics or related subject. Preferred skills include knowledge/experience of MATLAB programming, computational electromagnetics and digital signal processing.

Informal enquiries can be made to Dr. Lai Bun Lok (Email , Tel: 01524 510827) with a copy of your curriculum vitae and cover letter.

Funding Notes

This project is fully funded for 3.5 years covering payment of UK/EU only tuition fees and an annual tax-free stipend (£15,009 for 2019/2020), at the standard RCUK rate.

Essential background of student would be a First Degree or equivalent in Electronic Engineering, Physics, Mathematics, Environmental Sciences, Medical Physics or Computer Science, and knowledge of MATLAB programming, computational electromagnetics, digital signal processing, radio frequency electronics


[1] T. J. Young, D. M. Schroeder, P. Christoffersen, L. B. Lok, K. W. Nicholls, P. V. Brennan, S. H. Doyle, B. P. Hubbard, A. L. Hubbard, “Resolving glacier internal and basal geometry of ice masses using imaging phase-sensitive radar,” Journal of Glaciology, vol. 64, issue 246, pp. 649 – 660, Aug 2018
[2] K. W. Nicholls, H. F. J. Corr, C. L. Stewart, L. B. Lok, P. V. Brennan, and D. G. Vaughan “A ground-based radar for measuring vertical strain rates and time-varying basal melt rates in ice sheets and shelves,” Journal of Glaciology, vol. 61, no. 230, pp. 1079-1087, Dec 2015

How good is research at Lancaster University in General Engineering?

FTE Category A staff submitted: 24.98

Research output data provided by the Research Excellence Framework (REF)

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