PhD Studentship: Multimodal Imaging for the Early Diagnosis of Dementia

Background   

The retina shares it developmental origins with the brain and may be vulnerable to the same neurodegenerative processes that affect it. Recent advances in ophthalmologic imaging have opened a new frontier in the study of dementia and the central nervous system. 

The PhD project will build on recent developments in ophthalmology, neuroscience and artificial intelligence with the aim of developing improved diagnostic models of healthy ageing and transitions into cognitive decline that will subsequently help improve dementia diagnosis and provide the foundations for new interventions. 

Research methodology

This project is part of is a multidisciplinary collaboration between several teams aiming to determine the effectiveness of non-invasive ocular measurement of retinal as a biomarker for early diagnosis of dementia. The work will require the prospective PhD candidate to actively, collaborate with pre-clinical research groups at the University of East Anglia, and the Norfolk & Norwich Hospital. 

Training

Engagement with international multidisciplinary teams in highly ambitious projects in an inspiring and collaborative environment.  

Various opportunities for further education, training and professional growth.

Person specification

• A BSc or MSc in Engineering, Computer Science, Neuroscience or comparable degree.
• Good programming skills, experience in at least one of the following: MATLAB, Python, and Java/C++.
• Background in imaging and image/ time series analysis (preferably with experience in retinal imaging /image analysis).
• Knowledge of Machine learning techniques
• Excellent command of written and spoken English

Funding Details

Additional Funding Information 

This PhD project is in a Faculty of Medicine and Health Sciences competition for funded studentships. These studentships are funded for 3 years and comprise UK fees, an annual stipend of £17,668 and £1,000 per annum for research training (RTSG). Overseas applicants (including EU) may apply but are required to fund the difference between Home and International tuition fees.