Tenure-Track Position in AI for Health in Edmonton

Tenure-Track Position in AI for Health in Edmonton

Edmonton Full-Time 72000 - 88000 $ / year (est.) On-site
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At a Glance

  • Tasks: Advance AI in health through innovative research and collaboration with clinicians.
  • Company: University of Alberta, a leading institution in computing science.
  • Benefits: Tenure-track position with opportunities for impactful research and teaching.
  • Other info: Join a diverse team committed to equity, diversity, and inclusion.
  • Why this job: Shape the future of healthcare using AI while fostering community and inclusion.
  • Qualifications: PhD in relevant field and strong research background in AI/Health.

The predicted salary is between 72000 - 88000 $ per year.

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:

  • Machine Learning Algorithms for Health
  • Reinforcement Learning & Sequential Decision-Making for Treatment
  • Causal Learning
  • Multimodal and Heterogeneous Data Methods
  • NLP for Health
  • Computer Vision for Health
  • Interpretable & Trustworthy AI
  • Privacy-Preserving ML

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, how they will ensure access and promote community and belonging in teaching and foster equity, diversity and inclusion in research.

Tenure-Track Position in AI for Health in Edmonton employer: University of Alberta Careers

Join a dynamic and innovative team at the Faculty of Medicine & Dentistry in North Campus Edmonton, where we prioritise collaboration and cutting-edge research. As a Hybrid Manager for Research Facilities, you'll benefit from a supportive work culture that values professional growth and offers flexible working arrangements. With access to state-of-the-art technology and a commitment to enhancing research capabilities, this role provides a meaningful opportunity to make a significant impact in the academic community.

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Contact Details:

University of Alberta Careers Recruitment Team

We think you need these skills to ace Tenure-Track Position in AI for Health in Edmonton

Machine Learning Algorithms
Reinforcement Learning
Sequential Decision-Making
Causal Learning
Multimodal Data Methods
Heterogeneous Data Methods
Natural Language Processing (NLP) for Health