PhD studentship (UK/EU) to start 2015: Image Quality Transfer

This studentship is a collaboration of the Centre for Medical Image Computing and Department of Computer Science at UCL with Microsoft Research Cambridge. The student will be based at UCL, in the heart of central London, joining the Microstructure Imaging Group. They will participate in the Centre for Doctoral Training in Medical Imaging and will make frequent visits to the Microsoft labs in Cambridge.

The project develops new image reconstruction algorithms combining state of the art machine-learning techniques (random forests and deep learning) and unique data sets from cutting-edge MRI devices (such as the human connectome project scanners). Specifically, it builds on early work on Image Quality Transfer (Alexander et al MICCAI 2014), which learns image structure from uniquely high quality, but expensive, data sets and propagates it to enhance more modest acquisitions. The idea has a range of exciting applications in medical imaging and more generally in computer vision and image analysis.

The project lies at the interface of biomedicine and computer science, which is uniquely exciting place to perform novel and impactful research. Biomedicine and computer science are two key strengths of UCL, in which the institution has nationally leading profiles in the 2014 Research Excellence Framework.

The successful applicant will have strong programming and mathematical skills, as well as written and oral presentation skills. Some knowledge of matlab, magnetic resonance imaging, computer vision, and machine learning are all advantageous, but not essential.

Funding is for 3 years and limited to those considered EU residents. The stipend for this year is yet to be confirmed, but is approximately 17K per annum. Please contact Daniel Alexander at UCL (d.alexander at and/or Antonio Criminisi at Microsoft Research (antcrim at for further information on the project or application process. Applications can be made through the Prism system at!/?project=117. The closing date is 26th April.