PhD Studentship in medical image analysis: 3D reconstruction and interactive segmentation of histological images (4 year MRes +PhD)

The Translational Imaging Group (TIG) at University College London (UCL) is seeking to fill a doctoral position in medical image analysis. The student will be involved in the development of algorithms to recover the 3D structure of histological slices, as well as methods for semi-automated, interactive segmentation of the histological images. The student will also be involved in the development of a graphical interface for the interactive segmentation method, which collaborators at the UCL Brain Bank will use to annotate large amounts of histological data. These tasks are part of an EU/ERC project entitled “Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies”. The project ultimately aims for creating an ultra-high resolution probabilistic atlas of the whole human brain using ex vivo data, as well as companion image analysis tools that apply the atlas to the automated segmentation of in vivo MRI scans.

Applicant should have: – A M.Sc. degree in computer science, engineering, biomedical engineering, physics, applied mathematics, or related area. – Strong programming skills. – Strong mathematical and problem solving abilities. – Strong motivation and enthusiasm towards research. – Ideally, some experience with medical imaging data.

The studentship compromises of UK/EU fees level and a tax-free stipend of £16,851 per annum. In order to qualify candidates must be UK/EU passport holders or qualify for UCL home fees status. The start date for the position is September 26th 2016.