We are seeking to appoint a Research Assistant/Associate to develop image segmentation and atlas construction algorithms for the Developing Human Connectome Project (dHCP). This project will develop and apply novel, cutting-edge magnetic resonance (MR) methods to record structural and functional cerebral connectivity during early life, creating the first mapping of the developing human macro-connectome. We will provide the data we gather and tools for connectomic analysis, together with associated genetic, neurodevelopmental and clinical information within a user-friendly informatics platform for access by the wider research community, and carry out exemplar, ground-breaking hypothesis-driven studies into normal and abnormal brain development.
The Developing Human Connectome Project (dHCP) is an ambitious collaborative program between King’s College London, Imperial College London and Oxford University funded by the European Research Council (ERC) via a Synergy Grant. Within this project we are looking for a researcher who will be responsible for developing medical image analysis techniques that are optimized for MR images acquired from neonatal and fetal subjects. The role will involve development and implementation of image segmentation algorithms for fetal and neonatal MR images as well as algorithms for motion correction of fetal and neonatal diffusion and functional MRI.
To apply you need to have an extensive research experience in medical image computing and a research track record in this area of neuroimaging. The post holder will have experience in image registration, image segmentation and atlasing techniques commonly used in medical imaging. You will also have experience with algorithm and software development for medical image analysis. Preference will be given to applicants with a proven publication track record and excellent programming skills. All applicants must be fluent in spoken and written English. You must have excellent communication skills and be able to organise your work with minimal supervision and prioritise work to meet deadlines
At Research Assistant Level you must have a good first degree or Masters degree (or equivalent experience and/or qualifciations) in a subject relevant to medical imaging with particular expertise in medical image computing and software engineering.
At Research Associate Level you must have a PhD (or equivalent experience and/or qualifications) in medical imaging with particular expertise in medical image computing and software engineering.
You will be part of the Biomedical Image Analysis Group based at the South Kensington campus. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information on the group see: http://biomedic.doc.ic.ac.uk/. The Group is part of the Department of Computing which is a leading department of Computer Science among UK Universities.
How to apply
Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment (please select “job search” then enter the job title or vacancy reference number EN20150225SF into “keywords”). Please complete and upload an application form as directed.
Applications must include:
- A college application form
- Please quote job reference number DR ERCSYN 0615 on the application form
- A full CV
- A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
Should you have any queries regarding the application process please contact Sarah Willis by email to: email@example.com
Closing date: 3 August 2015 (midnight BST)
Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.
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