The Translational Imaging Group (TIG) at University College London (UCL) is seeking to fill a postdoctoral position in medical image analysis within an exciting EU / ERC project.
The postdoctoral researcher 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 researcher will work in close collaboration with researchers at the UCL Brain Bank, who will use the interactive segmentation method to annotate large amounts of histological images. The researcher will also help with the supervision of a doctoral student working in the same project.
These tasks are part of an EU/ERC project with the title "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.
It is essential that all applicants have:
- A Ph.D. degree in (bio)medical image analysis or a related area (e.g., computer vision).
- Strong mathematical and problem solving abilities.
- Strong programming skills (C++ and Matlab essential).
- An established publication track record.
- Ideally, experience with medical image processing libraries and neuroimaging packages (ITK, VTK, SPM, FreeSurfer, FSL).
- Ideally, experience with analysis of histology data.
The expeted salary for this post will be UCL Grade 7 of the UCL salary scale (http://www.ucl.ac.uk/hr/salary_scales/final_grades.php) starting at the lowest point. The start date for the position would ideally be September 1st 2016, but there is some flexibility with the dates. The duration of the contract would be two years, with the possibility of a one year extension.
If you are intertested in this post, please send the following to Juan Eugenio Iglesias (" target="_blank">):
- A copy of your CV.
- Contact details of 2 academic references.
- A cover letter stating the reasons you are applying for this position.
Please note all applicants will need to apply formally via the UCL website when the vacancy becomes available.