Filled Vacancies
UCL Department / Division: Medical Physics and Biomedical Engineering
Specific unit / Sub department: Translational Imaging Department
Grades: 7-8
Hours: Full Time
Salary (inclusive of London allowance): Grade 7 £33,686 - £40,716per annum /Grade 8 £41,844- £48,362 per annum

This is an exciting opportunity for an enthusiastic researcher with skills in real-time 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.

Main Purpose of the Post:

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

We are seeking a post-doctoral research associate to work real-time image computing and clinical integration in the context of endoscopic fetal surgery. An important aspect of the project is to extract information from the fetoscopic video stream and display informative data to the surgeon during the procedure. To that end, the candidate will work on novel real-time image computing algorithms and visualisation tools for surgical guidance. A strong emphasis will be put on computationally efficient algorithms and robust software development.

Within the large GIFT-Surg project, a number of researchers are developing complementary, interrelated algorithms, imaging devices and surgical tools that will provide unprecedented capabilities for fetal surgery. Within the real-time image computing task, an important consideration is therefore given to integrate the developed techniques into the GIFT-Surg unified software and hardware platform.

The project is ambitious and widely scoped and therefore there will be exciting opportunities to link interventional image computing and visualization to novel imaging devices developments, to surgical planning and manual or robotic surgical navigation.


Key Requirements


Candidates must have a PhD, equivalent qualification, or equivalent industrial experience, in computer vision, medical image computing, biomedical engineering, or a comparable subject.  Candidates must possess a first or upper second undergraduate degree, or equivalent in Computer Science, Engineering, Physics, Mathematics or a related subject.

All candidates must have demonstrable strong mathematical abilities, strong problem solving abilities, experience of hgh level C++ programming and software development in a collaborative development environment.  Specialised in at least two of the following areas: Real time computer vision, Medical image computing, Use of image computing/machine learning libraries and tools (ITK, scikit-learn, OpenCV, etc), Machine learning, GPGPU development (CUDA/OpenCL) and Data visualisation.

To be appointed at Grade 8 (Senior Research Associate) candidates must have a good understanding of the physics of acquisition of medical imaging (ultrasound, MRI, etc.) and be able to demonstrate experience in working on commerical or large-scale systems following modern system development methodologies.  Also candidates must have demonstrable experience of developing medical image computing algorithms in collaboration with clinicians.

For further details and to apply please Click Here.  


If you have any queries regarding the scientific content of the vacancy please contact Dr Tom Vercauteren, ">.  For general application queries please contact Miss Neha Shah, HR Officer: ">.