This is an exciting opportunity for two enthusiastic researchers with skills in data management and large-scale data analysis to join an internationally leading university research group. The aim of the project is to have an active role in the translation of image analysis processing techniques and their deployment in large scale studies.

The goal of these 2-year Biomedical Research Council funded projects is to implement data management systems and integrate novel analytical pipelines for imaging and non-imaging data.

These positions specifically aim at implementing large scale and high-throughput clinical research projects through novel automated analysis of acquired data. It involves the management and further development of our current platform for data management (XNAT), as well as the translation of fully automated image analysis algorithms for highly multimodal imaging data (Nipype and DAX).

These posts are available for 24 months in the first instance.


Key Requirements

The successful candidates will have a 2:1 honours degree (or equivalent) in Computer Science, Engineering, Physics, Mathematics or a in a related subject and hold a PhD in at least one of the following: medical informatics, medical image computing, medical physics, scientific computing or a closely related field.

They will be able to demonstrate good mathematical, algorithmic and software development skills. As well be able to demonstrate strong experience in C/C++ or Java programming and python. Knowledge and experience in high-performance computing and database management is highly advantageous. Familiarities with XNAT, Nipype and DAX will also be advantageous.


Further Details

Interested candidates are welcome to contact either Professor Sebastien Ourselin email: or Dr Marc Modat email: .

Link to the application page