London, July 4, 2013
The Centre for Medical Image Computing is seeking a PhD student for a challenging project in the field of combining optical skin surface reconstruction and soft tissue modelling. The aim of the project is to develop and implement new methods for reliably acquiring accurate 3D models of the skin by using cameras and sensors such as the Kinect and combining them with volumetric deformable models constructed from MRI. Our application is oncoplastic surgery of the breast and this is part of the EU project “PICTURE” with partners in Germany, Portugal and the Netherlands.
What we can offer: An exciting 3-4 year PhD programme within a dynamic environment in the heart of London. Competitive scholarship funding. Opportunities for internships and visits to other laboratories as part of an EU funded project. Close collaboration with clinical partners and translational routes for your research. Expert supervision within an informal and friendly environment aiming at scientific excellence.
Who we are: University College London (UCL) is a major university of international reputation and one of the largest centres of biomedical research in Europe. The UCL Centre for Medical Image Computing (CMIC) is a leading academic unit linked with the Departments of Computer Science and Medical Physics at UCL. We pursue innovative computational theory, methodology and applications as well as new devices to create clinically transferrable research. We have strong ties to clinical partners and hospitals in the London area.
The required candidate: You should hold an MSc or equivalent in physics, computer science, engineering or similar discipline. Experience with medical imaging or computer vision with a programming background in C/C++ and Matlab will be considered an advantage. Other relevant experience in robotics and electronics will also be favourable. You must have good interpersonal skills and thrive in an informal and dynamic atmosphere.
You must satisfy residency requirements for EU funding.
Starting date will be Sept 2013.
Centre for Medical Image Computing
University College London