Shape causal learning and treatment decision-making research as an in-person tenure-track Assistant Professor at North Campus, Edmonton. Connect methods with healthcare practice.

The University of Alberta seeks a Computing Science researcher in the broad area of AI/Health. The position supports foundational machine learning through current theory, algorithms, or models, with research questions mainly from clinical and biomedical practice. You will collaborate with clinician scientists and health researchers across the Faculty of Medicine & Dentistry and University of Alberta Hospital, while sustaining methodological work in Computing Science.

Key Responsibilities:

- Advance foundational machine learning research for health
- Investigate causal learning and sequential treatment decisions
- Develop theory,



algorithms, or models for clinical questions
- Collaborate with medicine and health research partners

Requirements:

- Tenure-track Assistant Professor qualification in Computing Science
- Research focus aligned with AI/Health
- Expertise in causal learning or related machine learning areas
- Ability to maintain methodological research within Computing Science
- Commitment to inclusive teaching and research practices

Apply foundational machine learning, causal learning, and clinical collaboration to advance AI/Health research at the University of Alberta.

📌 Health AI Researcher Causal Learning (Edmonton)
🏢 The University of Alberta
📍 Edmonton