Alzheimer’s disease (AD) is the most common type of dementia and a growing public health concern currently affecting over 50 million people globally, with an expected rise to more than 150 million by 2050. Timely diagnosis and prognosis are thus paramount in determining those at risk of progression from healthy to mild cognitive impairment (MCI) and Alzheimer’s dementia.
The main goal of the doctorate is to develop novel quantitative analysis techniques to estimate cognitive impairments from brain (MR) images. Cognitive performances are often evaluated using medical assessments, while brain imaging offers a more reliable and reproducible estimate of cognitive function and its decline over time. With recent advances in artificial intelligence and the increasing availability of open datasets, we plan for the student to introduce a novel way to interpret brain images, training the AI model from a multitude of cognition data.
The student will build a strong and competitive CV using a unique combination of interdisciplinary expertise in deep learning, computational neuroscience, psychology, and neuropsychological clinical research. The successful candidate is required to have prior knowledge of Machine Learning and/or a degree in a related field.
Eligibility:
Applicants must meet the following eligibility criteria:
- Applicants will have a first degree (undergraduate) at 2:1 or above and have a demonstrable interest in the topic area under investigation.
- Applicants can have a Masters degree, however this is not a requirement.
- Applicants can study part-time or full-time.
Selection Process:
Applications will be ranked by an internal institutional selection panel, and you will be notified if you have been shortlisted for interview on or around 20th of April. Interviews will take place on 05th of May.
This studentship award is subject to the successful candidate securing admission to a PhD programme within the University of Glasgow. The successful candidate will be invited to apply for admission to the relevant PhD programme.
Application website: https://www.sgsss.ac.uk/studentship/a-novel-artificial-intelligence-method-for-inferencing-impaired-cognition-trajectories-from-mri-data-in-patients-with-alzheimers-dementia/
If you are interested in applying to the listed PhD studentship, please visit the site below, select the PhD studentship your are interested in and follow the further instructions provided under the "How to Apply" section.
https://www.sgsss.ac.uk/studentships/current-opportunities/
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