Donnerstag, 15. September 2011

[Imageworld] Two post doctoral posts in the Centre for Medical Image Computing at UCL

Research Associate in Medical Image Computing: Anatomical Heart Modelling
The appointment will be on UCL Grade 7. The salary range will be £31,905 to £38,594 per annum, inclusive of London Allowance.

This project aims to devise novel accurate and reliable algorithms for the anatomical modelling of the heart from 3D/4D images. Both anatomical (segmentation) and functional (motion tracking) models are to be created from MR and ultrasound images and pathological cases. We aim to extend segmentation, registration and functional analysis algorithms to sparse or incomplete data. Contact Sebastien Ourselin. s.ourselin@ucl.ac.uk

The post is funded for 24 months in the first instance.

Research Associate in Medical image Computing: Transcostal High Intensity Focussed Ultrasound
The appointment will be on UCL Grade 7. The salary range will be £31,905 to £38,594 per annum, inclusive of London Allowance.

This project aims to undertake internationally competitive research as part of an EPRSC-funded collaborative research project between partners at UCL, the Institute of Cancer Research, and Oxford University. The principal role of the post within the context of this project will be to devise and validate novel image analysis techniques that enable accurate, image-guided delivery of high-intensity focussed ultrasound (HIFU) therapy to moving abdominal organs, such as the liver. . Contact Dean Barratt. d.barratt@ucl.ac.uk

This post will be funded for 24 months in the first instance.

For both posts the successful candidate will hold a PhD or equivalent in medical image computing, computer-assisted interventions, or closely related field. The post holder should have competence and experience of the scientific research process, the ability to devise innovative solutions to real-world problems, and the ability to apply knowledge and scientific methodology to successfully implement and evaluate rigorously those solutions, as evidenced by peer-reviewed publications in academic journals and presentations at scientific conferences. Experience at PhD or post-doctoral level in at least one of the following: medical image registration, segmentation, computational modelling, medical image analysis, MR imaging or ultrasound imaging

 

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