CIFAR Artificial Intelligence in Diagnostic Imaging

Competition 1853

The Faculty of Medicine & Dentistry at the University of Alberta is pleased to invite applications for a tenure-track position in the area of ‘Artificial Intelligence (AI) in Imaging. Applications from all areas of AI and Machine Learning (ML) with a focus on applications of AI in image processing and analysis. The successful candidate will initiate, lead, and collaborate in research activities, compete for external research funding, contribute to the Department’s undergraduate and graduate programs, including teaching and assisting with administration. 

The candidate selected will be appointed as a faculty member at the Assistant or Associate Professor level.

The University of Alberta is one of Canada’s top teaching and research universities, with an international reputation for excellence across the health sciences, humanities, sciences, creative arts, business and engineering. Located in Edmonton, Alberta, Canada, the Faculty of Medicine & Dentistry has been internationally recognized as among the world’s top 100 medical schools and as one of Canada’s premier health-education institutions. The University is currently home to 39,000 students from ~ 150 countries and 15,000 faculty and staff. It is also home to Amii (www.amii.ca), one of three artificial intelligence hubs in Canada. Amii has helped to make the University of Alberta one of the world’s top five machine learning and artificial intelligence research organizations according to csrankings.org.

The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii), which includes research funding for at least five years. This position is part of a University of Alberta cluster hire in the intersection of Machine Learning and other areas, including areas of research strength that include Health, Energy, and Indigenous Initiatives in health and humanities, among others.  The successful candidate will also become an Amii Fellow, joining a collegial institute of world-class Artificial Intelligence and Machine Learning researchers, have access to Amii internal funding resources, administrative support, and a highly collaborative environment.

Salary will be based on the incumbent’s qualifications, experience, and achievements and in accordance with the Faculty Agreement.

Skills & Experience

The successful candidate has a

• PhD, in either engineering, computing science or a related field.
• Proven record of high-quality research achievements with success in obtaining previous national level grant funding, holding of patents and publishing peer-reviewed publications.
• Show a successful record of mentorship and teaching at the undergraduate, graduate and postgraduate levels
• Minimum of 5 years of experience applying AI and ML to innovation in imaging research.
• Strong potential for productive interactions with researchers in the Faculty and in related disciplines at the University of Alberta

To Apply:

Please click "Apply". Applicants are asked to submit the following (all files must be submitted in PDF format):

• A full curriculum vitae.
• A 2-3 page research statement (please submit under "Research Plan") which must
  • highlight contributions to their field of research,
  • present an overview of their planned research program for ~5 years after initial appointment with specific focus on the role of AI/ML within their research,
  • describe how the candidate will interact, collaborate with, and complement other researchers at the University of Alberta.
• A 1-2 page teaching statement (please submit under "Interests") including their experience and interests.
• A 1-2 page equity, diversity, and inclusion statement which includes the candidate’s contributions and plans to advance EDI in their research, teaching, mentoring, and service.
• One recent publication or preprint that best exemplifies their work and/or vision for AI/ML in their field.
• Contact information for three references. It is recommended that at least one reference be able to speak to the candidate’s expertise in AI/ML. Only applicants selected for interviews will be expected to contact the three references and arrange to have them submit confidential letters about the applicant’s accomplishments and potential as a faculty member.
• A cover letter that should outline their interests in a position with the Department of Radiology and Diagnostic Imaging at the University of Alberta. 

Applicants whom require an accessibility arrangement for their interview and/or subsequent recruitment meetings can contact Catherine Anley (Senior Consultant Equity, Diversity and Inclusion) at catherine.anley@ualberta.ca or 780.492.3020 to arrange appropriate accommodations.