This postdoctoral research position is being funded by £11 million from the Wellcome Trust and the EPSRC, as part of the WELMEC Centre of Excellence in Medical Engineering, which aims to improve the quality of life and economic productivity of the ageing population through the development of novel diagnosis, imaging and interventions for cardiovascular and musculoskeletal disease.

The post will be based in the School of Computing as part of a multidisciplinary team developing novel multi-modality imaging, image analysis and visualization techniques to provide quantitative 3D datasets for modelling, simulation and assessment of joint repair and tissue regeneration that will inform the design of personalised therapies and effective patient stratification.

This post will develop tools to identify and segment tissues in various image modalities including multi-spectral MRI and digital histopathology images and develop novel methods to detect and characterise tissue micro-architecture and cell distribution to study normal, diseased and engineered cartilage and soft tissues.

The techniques developed will be used to quantify properties of different tissue types and to provide parameters for use in physics based models of wear and function.

The successful candidate at grade 6 will possess a 1st or upper second class degree in Computing/related subject and experience in developing medical image analysis techniques. At grade 7 you would be expected to possess a PhD (or be expecting to obtain this qualification shortly) in Computing/related discipline or have equivalent experience. In addition, it is essential that you have a current track record in publications in conferences or journals.

University Grade 6 (£24,766 - £29,541 p.a.) or University Grade 7 (£30,424 - £36,298 p.a.), dependant on experience