Lead methodological research in multimodal health AI as an in-person Assistant Professor at North Campus, Edmonton. Work with clinical and biomedical data. The Department of Computing Science invites applications for a tenure-track appointment in AI/Health.

Areas include multimodal and heterogeneous data methods, NLP for Health, computer vision, interpretable and trustworthy AI, and privacy-preserving machine learning. The successful candidate will connect foundational methods with questions from clinical and biomedical practice, collaborating with the Faculty of Medicine & Dentistry and University of Alberta Hospital.

Key Responsibilities

- Advance machine learning foundations for health applications
- Develop multimodal and heterogeneous data methods
- Research NLP or computer vision for health
- Build interpretable,



trustworthy, or privacy-preserving AI methods
- Collaborate with clinician scientists and health researchers Requirements:
- Tenure-track Assistant Professor appointment in Computing Science
- Solid methodological research program in Computing Science
- Expertise in AI/Health research areas
- Research questions grounded in clinical or biomedical practice
- Interest in advancing access, community, and belonging Develop multimodal, trustworthy, and privacy-preserving health AI methods through foundational research and clinical collaboration at the University of Alberta.

📌 Assistant Professor Multimodal Health AI (Edmonton)
🏢 The University of Alberta
📍 Edmonton