The position is part of a project that aims to create an ultra-high-resolution probabilistic atlas of the whole human brain using ex vivo data, as well as image analysis tools that apply the atlas to the automated segmentation of in vivo MRI scans.
The project is being carried out in the Translational Imaging Group, at University College London.
The successful candidate will develop algorithms to recover the 3D structure of histological slices, as well as methods for semi-automated, interactive segmentation of histological images.
The researcher will also help with the supervision of a doctoral student working in the same project.
- PhD in (bio) medical image analysis, computer vision or a related area
- Strong mathematical and problem solving abilities
- Strong programming skills (MATLAB and C++ are essential)
- Experience with medical image processing libraries and neuroimaging packages such as ITK, VTK, SPM, FreeSurfer and FSL (desired)
- Experience with analysis of histology data (desired)
The position is for 2 years although it may be extended up to 3 years. The start date is ideally September 1, 2016.
How to apply
Prepare the following information and contact Juan Eugenio Iglesias:
- Curriculum vitae
- Cover letter
- Contact details of two academic references
About the employer
University College London was founded in 1826. It is the top rated university in the UK for research strength.