tomography

We are looking for an enthusiastic and strongly motivated researcher to join our group within the Institute for Digital Communications in the School of Engineering. You will work in an EPSRC-funded project on imaging cerebral blood flow based on 3D electrical impedance tomography.

UoE Vacancy Ref: 

037904

Closing Date: 

Friday, November 25, 2016
Dr Yunjie Yang

Full Job Title: 

Chancellor's Fellow

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Digital Communications

Email: 

Dr Yunjie Yang is the Chancellor’s Fellow in Data Driven Innovation at the University of Edinburgh.

Dr Jiabin Jia

Full Job Title: 

Senior Lecturer

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Digital Communications

Email: 

Telephone: 

+44(0)131 6513568

Dr Jiabin Jia obtained his BEng (2002) in Electronics Engineering and MSc (2005) in Electrical and Electronics Engineering at Wuhan University, China. After worked one year in the Hardware R&D department of H3C Technology Co.

Full Job Title: 

Reader and Head of Research Institute

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Digital Communications

Email: 

Telephone: 

+44(0)131 6502769

I am an Electrical Engineer interested in the fitting electromagnetic data to their respective models in the context of tomographic image reconstruction and model parameter estimation.

Tomography is the method that underlies medical scanners, which are mostly large, fixed installations, e.g. for X-ray CT scanning and Magnetic Resonance Imaging (MRI). Fundamentally, the portability and adaptability of any tomography system depends on the nature of the measurement process that it exploits, and it turns out that many tomography systems are "agile" in these respects

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