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

by August 30, 2026

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