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Research Associate on Model-based Image Computing of Brain Degeneration

Post-doctoral fellow of CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine
Location:     Sheffield, Not in U.S. or Canada. United Kingdom
Posted: 2013-12-14 18:16:43
Open from: 2013-12-10 to 2014-03-01
Listing web link:
This post offers an exciting opportunity to join the highly successful Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB) within the Department of Mechanical Engineering at the University of Sheffield. CISTIB focuses on algorithmic and applied research in the areas of computational imaging, modelling and simulation. CISTIB is working at the interface between different areas of computational imaging and modelling (Frangi AF et al. Medical imaging and Image computing in Computational Physiology. IEEE Trans Med Imaging. 2013 Jan;32(1):1-7.): medical image analysis, statistical shape analysis, pattern recognition, image-based computational physiology, and personalised virtual interventions. The centre hosts academic members from the University of Sheffield as well as Research Fellows, Research Associates, PhD Students and Scientific Software Developers forming a cross-disciplinary team. The purpose of the Research Associate post is to support and maintain the University´s national and international reputation for excellence in research and teaching. Contribution to excellence in research will be as a member of a research team carrying out research at a similar level to that undertaken by lecturing staff and will provide substantial scope for academic judgement, originality, interpretation and presentation of results. You will work primarily on the VPH-DARE@IT Project, a collaborative project funded by the European Commission’s (EC) Seventh Framework Programme (FP7), aimed at developing methods for early and differential diagnosis of dementia. As well as your scientific contributions to the project, you will assist with grant administration and the writing of reports for the EC. Contribution to teaching will include assistance in the presentation of seminars and may include participation in the research group´s teaching programme, yet you will maintain a research-intensive focus. You will have a PhD degree in computer science, electrical engineering, medical physics or equivalent,. You will have excellent research skills and capabilities and a solid track record of scientific publications in peer-reviewed international journals. You will also have strong programming experience in C/C++, and experience of one or more of non-rigid image registration, diffusion image processing, or statistical shape modelling. Additional experience of MRI image formation and simulation would be an asset. The post will remain open till the position is filled. Please, for further information on this post see below. If you would like to discuss further particulars or express your interest in this post, please, contact Prof Alejandro Frangi ( with a detailed CV, sample publications, a statement of interest, and a minimum of 3 personal references and their contact details. Applications need to be formalised through the following electronic system:

For more information contact:
Prof Alejandro Frangi
Phone: +441142220153

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