Filled Vacancies

UCL Department / Division: Medical Physics and Biomedical Engineering
Salary (inclusive of London allowance): £33,353 - £40,313 per annum

Closing Date: Thursday 30th July 2015

 

Main Purpose of the Post:
This is an exciting opportunity for an enthusiastic researcher with skills in image computing and software development to join an internationally leading university research group. The aim of the project is to have an active role in the development, integration and translation of a novel platform for fetal surgery.

UCL was awarded, in 2014, £10 million to develop better tools and imaging techniques that will improve the success of surgery and other therapies on unborn babies in collaboration with KU Leuven, Great Ormond Street Hospital and University College London Hospital (See the GIFT-Surg project website for more detail www.gift-surg.ac.uk).

We are seeking a post-doctoral research associate to work on designing interventional tools for multimodal image registration in the context of fetal surgery. MRI is the modality of choice for surgical planning while real-time ultrasound is ubiquitous in OB/GYN. There is therefore a need for fusing the information gathered from the preoperative MR with the interventional data from the ultrasound.

Within GIFT-Surg a number of researchers are developing algorithms, imaging devices and surgical tools. Thus another important aspect of the multi-modal image registration task is to integrate the developed techniques into the unified GIFT-Surg software and hardware platform.

This post is funded for 2 years in the first instance.


Key Requirements:
The successful candidate will have a PhD in computer vision, medical image computing, biomedical engineering, or a comparable subject. Strong expertise in programming high-level languages (e.g. C/C++, Matlab) and specialise in at least two of the following areas: Image registration, medical image computing, detection and recognition, use of image computing/machine learning libraries and tools (ITK, scikit-learn, OpenCV, etc.) and/or machine learning.


Further Details:

A job description and person specification as well as the application form can be accessed through the UCL HR website (ref 1473460).

Further information about GIFT-Surg can be found at: www.gift-surg.ac.uk. Further information about the Translation Imaging Group can be found at: http://cmictig.cs.ucl.ac.uk/.

If you have any queries regarding this vacancy please contact Dr Tom Vercauteren on t.vercauteren@ucl.ac.uk. If you have any queries regarding the application process please contact Neha Shah on neha.shah@ucl.ac.uk.