Eranga Ukwatta
11 months ago
Artificial Intelligence (AI) models for medical image analysis University of Guelph in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Competitive funding packages and research stipends
Deadline
Expired
Country
Canada
University
University of Guelph
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Where to contact
Official Email
No info
Keywords
Computer Science
Biomedical Engineering
Electrical Engineering
Medical Imaging
Artificial Intelligence
X-ray Imaging
Hardware Engineering
Machine learning
About this position
MSc and PhD positions alert ?? in Biomedical/Computer Engineering!
Call for Master’s and PhD Students in Biomedical/Computer Engineering – Fall 2025 (
hiring
)
We are seeking highly motivated Master’s and PhD students to join our research team in Fall 2025. Our lab focuses on developing cutting-edge artificial intelligence (AI) models for medical image analysis, with applications in diagnosis and prognosis of various diseases. If you have a strong background in biomedical engineering, computer engineering, or related fields and are passionate about AI in healthcare, we encourage you to apply.
Research Focus
-Development of AI models for automated medical image analysis
-Diagnosis and prognosis prediction using deep learning and machine learning techniques
-Multi-modal data integration for improved healthcare outcomes
Explainable AI and model interpretability in medical applications
Qualifications
-Master’s Applicants: Bachelor’s degree in Biomedical Engineering, Computer Engineering, Electrical Engineering, Computer Science, or a related discipline.
PhD Applicants: Master’s degree in a relevant field (exceptional Bachelor’s students may also be considered for direct-entry PhD programs).
-Programming skills in Python and experience with AI/ML frameworks such as TensorFlow or PyTorch.
-Knowledge of medical imaging techniques (e.g., MRI, CT, X-ray) is an asset but not required.
-Ability to work independently and collaboratively in a multidisciplinary team.
What We Offer
-Competitive funding packages and research stipends
-Access to state-of-the-art computational and medical imaging facilities
-Opportunities to publish in top-tier journals and conferences
-A dynamic research environment with collaborations in healthcare and AI
We are seeking highly motivated Master’s and PhD students to join our research team in Fall 2025. Our lab focuses on developing cutting-edge artificial intelligence (AI) models for medical image analysis, with applications in diagnosis and prognosis of various diseases. If you have a strong background in biomedical engineering, computer engineering, or related fields and are passionate about AI in healthcare, we encourage you to apply.
Research Focus
-Development of AI models for automated medical image analysis
-Diagnosis and prognosis prediction using deep learning and machine learning techniques
-Multi-modal data integration for improved healthcare outcomes
Explainable AI and model interpretability in medical applications
Qualifications
-Master’s Applicants: Bachelor’s degree in Biomedical Engineering, Computer Engineering, Electrical Engineering, Computer Science, or a related discipline.
PhD Applicants: Master’s degree in a relevant field (exceptional Bachelor’s students may also be considered for direct-entry PhD programs).
-Programming skills in Python and experience with AI/ML frameworks such as TensorFlow or PyTorch.
-Knowledge of medical imaging techniques (e.g., MRI, CT, X-ray) is an asset but not required.
-Ability to work independently and collaboratively in a multidisciplinary team.
What We Offer
-Competitive funding packages and research stipends
-Access to state-of-the-art computational and medical imaging facilities
-Opportunities to publish in top-tier journals and conferences
-A dynamic research environment with collaborations in healthcare and AI
Funding details
Competitive funding packages and research stipends
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