Big Data Analysis and Clinical Translation in Neuroimaging,
Duties and Responsibilities
The goal of this 2-year BRC funded translational project is to demonstrate the feasibility, robustness, and clinical value of automated image analysis approaches on clinical neuroimaging data. This position specifically aims at developing fully automated image analysis algorithms for highly multimodal imaging data, with an initial application to multiple sclerosis and stroke. The applicant will also be responsible for the translation of our current XNAT platform to clinical neuroimaging data, bridging the gap between algorithm developers and end users and thus enhancing the translation of medical image analysis techniques to clinical practice.
The post holder will be employed within the Translational Imaging Group with strong interactions between various clinical partners, especially at the Department of Neuroinflammation within the Institute of Neurology, Queen Square, UCL.
This post is funded for 24 months in the first instance.
Key Requirements:
The successful candidate will have a PhD in at least one of the following: medical informatics, medical image computing, medical physics, scientific computing or a closely related field. They will be able to demonstrate good mathematical, algorithmic and software development skills. They will also be able to demonstrate strong experience in C/C++ programming and python. Knowledge and experience in high-performance computing platforms, database management and ‘Big-data’ is highly advantageous.
Candidates seeking to be appointed at Grade 8 will need to fulfil the additional criteria specified within the further particulars of the vacancy
To apply:
Please click on APPLY NOW below.
If you have any queries regarding the scientific content of the vacancy please contact Professor Sebastien Ourselin, s.ourselin@ucl.ac.uk. For general application queries please contact Jenny Nery j.nery@ucl.ac.uk.
UCL Taking Action for Equality
Closing Date: 19 Apr 2015
Our department holds an Athena SWAN Bronze award, which illustrates our commitment to addressing gender equality.
This appointment is subject to UCL Terms and Conditions
of Service for Research and Support Staff.