The goal of this Wellcome Trust-funded translational project is to demonstrate the feasibility, robustness, and clinical value of automated image analisis approaches on a large database of routine clinical brain imaging. This position specifically aims at developing a fully automated anomaly detection and triage system for clinical magnetic resonance brain imaging. The applicant will also bridge the gap between algorithm developers and end users, enhancing the translation to clinical practice. Additional duties will also involve the deployment of a scalable image analisis platform aiming at facilitating ‘big data’ approaches to major neurological disorders. The post holder will be employed within the Translational Imaging Group, part of UCL’s Centre for Medical Image Computing (CMIC) with strong interactions between various clinical partners, especially at the Institute of Neurology, UCL and the National Hospital for Neurology and Neurosurgery, Queen Square.
This is a 2 year funded post in the first instance.
The successful candidate will have a Degree or equivalent in Computer Science, Engineering, Physics, Mathematics or on a related subject and be able to demonstrate mathematical, algorithmic and software development skills. They should also demonstrate experience in C/C++ programming and python.
A job description and person specification can be accessed at the bottom of this page.
For more information or to apply for the vacancy please go here.
Further information about the Translational Imaging Group can be found at: http://cmictig.cs.ucl.ac.uk/.