The Project

Join a multidisciplinary team developing high-sensitivity AI models (using the Exact Imaging 29MHz system ) to improve prostate cancer tumor identification and diagnostic specificity, building on MRI-equivalent point-of-care micro-ultrasound research.

About the University of Alberta and Amii

Conduct research at the University of Alberta, a global leader in AI, and partner with the Alberta Machine Intelligence Institute (Amii). Access state-of-the-art high-performance computing and a collaborative network of world-leading fellows and industry partners.

Key Responsibilities

● AI Development: Design/validate deep learning models (CNNs, Transformers) for ultrasound cancer detection.

● Clinical Integration: Incorporate zonal anatomy, multi-focal presentations, and Gleason features into model design.

● Data & Compliance: Manage clinical repositories (1,000+ patients) ensuring REB compliance across multi-source datasets.

● Deployment: Implement real-time clinical overlays and automated segmentation tools for clinical workflows.





Required Qualifications

● Education: Ph.D. in BME, CS, Medical Physics, EE, or related field.

● Technical AI: Experience in deep learning, computer vision, and medical image analysis (Python,

PyTorch/TensorFlow).

● Imaging: Fluency in ultrasound principles; experience with micro-ultrasound.

● Soft Skills: Strong publication record and ability to communicate complex findings to interdisciplinary audiences.

● Software Engineering: Proficiency with version control systems (e.g., Git) for team-oriented code management.

● Image Processing: Experience with advanced image pre-processing, registration, and segmentation techniques to improve AI model robustness.

Interested Applicants

Please send a cover letter outlining your experience with AI and ultrasound imaging, your CV, and contact information for two references to Craig Jones ( [email protected] ) by August 30, 2026

📌 Post Doc: Prostate Cancer Ultrasound (Edmonton)
🏢 University of Alberta
📍 Edmonton