Postdoctoral Researcher: Medical Image Analysis

University of Westminster
Location: 
London, United Kingdom
Job Type: 
Full Time
Closing Date: 
Monday, October 22, 2018

We are looking to recruit a Postdoctoral Researcher to join the Research Centre for Optimal Health, in the School of Life Sciences at the University of Westminster, to work on a research project funded by a major Internet Company.

This research project will focus on the development and application of novel image processing
techniques (segmentation, registration, statistical shape modelling) to large collections of clinical MR images.

The project will be developing biomedical image processing, medical image computing, and machine learning with abdominal magnetic resonance imaging. The work will involve developing algorithms to investigate health using multi-modality MR images and will include distributed computing environments and cloud-based systems.

The successful candidate must be highly motivated and have an advanced degree (Ph.D.) in
computer science, electrical or biomedical engineering, physics, statistics or related fields.  Previous experience with research focusing on biomedical image processing, medical image computing, and machine learning is advantageous but not required.  Previous experience with MRI is also preferred.  The ideal candidate should have experience in programming languages such as C/C++ and Python.  Experience with developing image-processing tools using the ITK/VTK environment or similar open-source software is a plus.  Experience with distributed computing environments and cloud-based systems is also a plus.

Administrative contact (for queries only): J.Bell@westminster.ac.uk

Please note: We are unable to accept applications by email. All applications must be made online.
CV’s in isolation or incomplete application forms will not be accepted.

We are fortunate to receive a large number of applications for our vacancies. Regrettably, we are
not able to provide feedback to those job applicants who are not shortlisted, as it simply would not be manageable to do so.

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