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The Department of Computing Science at the University of Alberta invites applications for a tenure-track Assistant Professor position, starting as early as July 1, 2027, in AI/Health. We seek a researcher advancing foundations of machine learning with connections to clinical practice and health research in Medicine & Dentistry and at the University of Alberta Hospital.
Areas of interest include ML for Health, RL for treatment, Causal Learning, Multimodal data methods, NLP for Health, Computer
Location - This role is in-person. Work primarily takes place at North Campus, Edmonton.
The Department of Computing Science at the University of Alberta invites applications for a tenure-track Assistant Professor position, starting as early as July 1st, 2027, in the broad area of AI/Health. We are looking for a researcher who advances the foundations of machine learning, through new theory, algorithms, or models, and whose research questions mostly come from clinical and biomedical practice. The successful candidate will work closely with clinician scientists and health researchers in the Faculty of Medicine & Dentistry and at the University of Alberta Hospital, while maintaining a strong methodological research program within Computing Science. The areas of interest include but are not limited to:
The Department of Computing Science is one of the largest and oldest computing science departments in Canada. The Department has 54 tenured/tenure-track faculty members and 8 academic teaching staff who are recognized for their excellence in research and teaching at the international, national, and university level. The Department's student population involves over 400 graduate and 2400 undergraduate students. The total undergraduate enrollment in Computing Science courses is over 6400 in each fall or winter term. The University of Alberta is home to over 44,000 students from 156 countries (divided roughly as 80% undergraduate and 20% graduate students) and 600 postdoctoral fellows.
The University of Alberta is committed to practices that advance Access, Community and Belonging (Strategic Plan for ACB) and to reconciliation (Indigenous Strategic Plan). The computing science department is committed to advancing ACB, and has an active EDI committee. We welcome applications from all qualified persons, including those with non-traditional career paths. Applicants are also encouraged to discuss, in their submitted statements (see below), how they will ensure access and promote community and belonging in teaching and foster equity, diversity and inclusion in research.