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PhD Studentship in Computer Science (medical image analysis)

   College of Science

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  Prof X Ye, Prof N Allinson  No more applications being accepted  Funded PhD Project (European/UK Students Only)

About the Project

General Description: The University of Lincoln is seeking to appoint a new PhD student to join our Laboratory of Vision Engineering (LoVE), within the School of Computer Science. The centre is internationally recognised for its research in capture, transmission, processing and understanding of (medical) images, video and other high-dimensional data, and currently comprises 8 faculty staff. The successful candidate will be offered a studentship as part of a European collaborative project, involving seven academic institutes and two industrial partners across four European countries.

The School of Computer Science at the University of Lincoln scored highly in the UK Research Assessment Exercise (RAE 2008) with 85% of its outputs ranked at international quality or better with 15% ranked world-leading. The School provides a stimulating environment for academic research, and is based on the picturesque waterfront campus in the vibrant city of Lincoln in high quality, newly developed facilities.

This PhD studentship is focussed in the area of medical image analysis to detect and measure abnormal growths (e.g. tumours), which will subsequently support clinically meaningful analysis, e.g. follow-up studies to evaluate the tumour response to therapy. Primary tasks include developing novel image analysis algorithms and approaches, including (but not limited to) robust segmentation, 3D reconstruction, image registration and feature extraction to support accurate analysis and reliable detection of a range of cancer diseases through the information available at different scales. It is expected that the availability of such information will help solve many uncertain cases caused by the ambiguity of data that is often seen at a single scale. For example, the analysis of histology images will provide significant measures to reach more trustworthy decisions for the detection of abnormal structures from the images at the organ level.

Funding Notes

Good honours degree in Computer Science, Engineering or related discipline required (relevant Masters welcome). Experience in areas including (medical) image analysis, optimisation, image registration, and machine learning an advantage. Able to engage in scientific research, work collaboratively as part of a team, including excellent communication skills, written and spoken English, required.

Studentship covers tuition fees and stipend based on RCUK stipend levels up to three years (UK or EU nationality), plus opportunities for travel,international conferences and project meetings. Opportunity to engage in international collaboration within an ambitious team, and benefit from excellent support to produce and disseminate original research contributions.


Interested candidates are invited to send a Curriculum Vitae to Dr Xujiong Ye ( with the subject line “Application for PhD Position in medical image analysis”. Informal enquiries about the post can also be made to Dr Xujiong Ye (email: and/or Prof Nigel Allinson (email:
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