Application deadline: 17th March 2015
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 Electronic and Electrical Engineering at the University of Sheffield. CISTIB is working at the interface between different areas of computational imaging and modelling: medical image analysis, statistical shape analysis, machine learning, 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 with affiliation in the Electronic and Electrical Engineering and Mechanical Engineering Departments.
The Centre has had significant recent funding success in the area of dementia via the European Commission-funded VPH-DARE@IT and the EPSRC-funded OCEAN projects. This post will be associated to the VPH-DARE@IT project. In this project and post, CISTIB seeks to develop image analysis tools to build personalised biomechanical models of fluid transport in the brain in collaboration with other groups across Europe.
CISTIB is seeking a Research Associate who will contribute to development of methods for highly-automated and robust construction of image-based biomechanical models of the brain and its vasculature from large-scale databases of medical images. The real challenge here is to scale-up methods for image segmentation and registration so that we can transform large scale population databases of multimodal medical imagery into highly detailed numerical meshes for finite element poroelasticity brain modelling. Conventional methods are insufficient either because they are impractical to run on databases that have hundreds of multi-dimensional datasets or because they require parameter tuning or manual intervention to produce highly-accurate organ boundaries and numerical meshes. We seek to develop innovative techniques that can scale-up to work robustly and automatically in various existing large-scale databases available to the consortium.
As a member of the CISTIB team you will be responsible for planning, developing and pursuing research objectives that underpin CISTIB’s research programme in computational imaging and modelling, with a particular emphasis on activities in the VPH-DARE@IT project. You will have a PhD in a relevant area of Computer Science, Electrical Engineering, Biomedical Engineering, Physics or a related discipline (or equivalent experience). You will have expertise with sufficient breadth / depth of specialist knowledge as well as knowledge of research methods and techniques to work within established research programmes and a sound understanding of the principles and practical aspects of medical imaging, medical image computing. In addition you will have a demonstrable record of publications in the area of image-based computational modelling in peer-reviewed scientific journals and/or conference proceedings.
More info and application on http://tinyurl.com/qfd8yl2