PhD positions in medical image analysis, Memorial University of

PhD positions in medical imaging: The Data and Image Analysis Group (DIAG) at Memorial University of Newfoundland (MUN) invites applications for fully funded PhD positions in medical image analysis. This is a remarkable opportunity to participate in groundbreaking research in neurodegenerative diseases, cancer and retinal diseases by building outcome prediction models through multimodal neuroimaging, whole-body computed tomography (CT) and retinal optical coherence tomography (OCT).

Fully funded PhD positions in medical image analysis

Designation:
PhD student

Research area:
Medical image analysis, neurodegenerative diseases, cancer, retinal diseases, multimodal neuroimaging, whole body CT, retinal OCT imaging

Location:
Memorial University of Newfoundland (MUN), Canada

Eligibility/Qualification:

• Master’s degree in Biomedical engineering, computational neuroscience, computer science or related fields.
• Proven research experience in the clinical field with a focus on medical image analysis.
• Strong skills in statistical analysis, machine learning and scientific writing.
• Knowledge of programming languages ​​such as Python, MATLAB or R.
• Excellent scientific writing skills with a track record of publishing in clinical journals.
• Ability to work effectively in a multidisciplinary team and communicate complex ideas clearly.
• Motivated and independent researcher with a passion for advancing medical knowledge and improving patient outcomes.

Job description:
As a PhD student in the DIAG laboratory, you will:

• Use imaging to develop new hypotheses related to clinical outcomes.
• Apply advanced statistical methods and machine learning algorithms to develop novel predictive models using multimodal data from neuroimaging, whole-body CT, and retinal imaging.
• Guide the selection of relevant imaging biomarkers and clinical endpoints for improved model prediction performance.
• Communicate research results effectively through high-quality scientific writing and presentations.
• Supervise undergraduate students and contribute to their education and development in the field of medical image analysis and machine learning.

You will work closely with Dr. Karteek Popuri and his team and focus on the development of innovative imaging biomarkers and outcome prediction models.

How to apply:
Interested candidates should send a resume along with the most recent academic transcript to diag-lab@mun.ca with the subject line “(diag-recruitment) Application for a PhD position”.

Last application date:
Until the position is filled

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