Assistant Professor, AI for Health in Edmonton

Assistant Professor, AI for Health in Edmonton

Edmonton Full-Time 74250 - 90750 $ / year (est.) On-site
U

At a Glance

  • Tasks: Advance machine learning foundations in health and clinical practice.
  • Company: University of Alberta, a leading institution in computing science.
  • Benefits: Tenure-track position with competitive salary and research opportunities.
  • Other info: Join a dynamic team at a top university with excellent career growth.
  • Why this job: Make a real impact in AI for health and improve patient outcomes.
  • Qualifications: PhD in relevant field and strong research background in ML.

The predicted salary is between 74250 - 90750 $ per year.

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

Assistant Professor, 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.

U

Contact Details:

University of Alberta Careers Recruitment Team

We think you need these skills to ace Assistant Professor, AI for Health in Edmonton

Machine Learning
Reinforcement Learning
Causal Learning
Multimodal Data Methods
Natural Language Processing (NLP)
Clinical Practice Integration
Health Research