PhD Positions in Medical Image: 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 engage in pioneering research on neurodegenerative diseases, cancer, and retinal diseases by creating outcome prediction models through multimodal neuroimaging, whole-body computed tomography (CT), and retinal optical coherence tomography (OCT) imaging.
Fully-Funded PhD Positions in Medical Image Analysis
Designation:
PhD Researcher
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.
- Demonstrated research experience in the clinical domain with a focus on medical image analysis.
- Strong statistical analysis, machine learning, and scientific writing skills.
- Proficiency in programming languages such as Python, MATLAB, or R.
- Excellent scientific writing skills with a track record of publications in clinical journals.
- Ability to collaborate 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 Researcher in the DIAG lab, you will:
- Develop novel hypotheses related to clinical outcomes using imaging-based approaches.
- Apply advanced statistical methods and machine learning algorithms for the development of novel prediction models using multimodal neuroimaging, whole-body CT, and retinal imaging data.
- Guide the selection of relevant imaging biomarkers and clinical endpoints for improved model prediction performance.
- Communicate research findings effectively through high-quality scientific writing and presentations.
- Mentor undergraduate students and contribute to their training and development in the field of medical image analysis and machine learning.
You will collaborate closely with Dr. Karteek Popuri and his team, focusing on the development of innovative imaging biomarkers and outcome prediction models.
How to Apply:
Interested candidates should submit a CV along with the most recent academic transcript to diag-lab@mun.ca with the subject line: [diag-recruitment] Application for PhD position.
Last Date for Apply:
Until position filled
