Edinburgh Imaging

03 Dec 18. Job - PhD vacancy

PhD in Retinal Imaging & Multiple Sclerosis.

Project code: 2019-SPRINT-04
PhD Project: The eye as a window to the central nervous system – an artificial intelligence approach to biomarker discovery for MS.
Supervisors: Dr Tom MacGillvrayProf Bal Dhillon
Location: Centre for Clinical Brain Sciences (CCBS)


Application deadline: 7th January, 2019


Applicants can apply here.



The eye, with common embryonic origins to the brain & other shared anatomical features such as a blood–tissue barrier & nerves, is an area of the central nervous system amenable to non-invasive study. Optical Coherence Tomography (OCT) measures thickness of nerve fibres in the retina, with MS patients showing axonal loss through a marked thinning of this layer. OCT has also revealed a lower density of blood vessels around the optic nerve in MS while our own pilot data from fundus imaging suggests further differences in venules in the peripheral retina associate with disease progression. Retinal metrics may therefore reflect neurodegeneration & neurovascular change with possible utility in early detection of MS & prediction of disease progression.


With access to different machines in Edinburgh, the student will combine images through development of novel post-processing to build an unparalleled view or description of the retinal vasculature not previously attempted, including the smallest discernible vessels around the macula to the main arcades near the optic nerve & their branches extending out to the periphery. The student will probe for a vascular mechanism in the pathogenesis of MS using novel metrics & combine with established measures of neuroretinal anatomy to investigate association with disease via cutting-edge artificial intelligence, machine learning & statistics (e.g. neural network-based deep learning).

Applicant requirements:

Likely background of suitable student & essential skills required prior to starting this PhD:

  • Honours degree, 2.1 or above
  • Programming competence - e.g. Matlab, C++, Python, R
  • Graduate of an appropriate discipline - e.g. Engineering, Physics, Mathematics, Informatics, Bioinformatics, Computer Science
  • Team player ready to work in a collegiate environment
  • Experience of clinical studies & clinical statistics
  • Experience with imaging & image analysis, especially medical & specifically retinal
  • Experience with machine learning, neural networks


Application deadline

Deadline: 7th January, 2019

Applicants can apply here.