PhD Student Positions in Medical Image Analysis

University of Calgary
Calgary, Canada
Job Type: 
Full Time
Closing Date: 
Wednesday, May 31, 2017

The Department of Radiology at the University of Calgary, in partnership with the Hotchkiss Brain Institute, is seeking PhD students with an interest in medical image processing and machine learning.

PhD student candidates should hold an MSc in computer science, biomedical engineering, mathematics, neuroscience, or similar program with a strong academic background, good English skills and an enthusiasm for research. The successful applicant will be responsible for developing advanced image processing methods for analysis of multi-parametric MRI and CT datasets of the brain for computer-aided diagnosis support and clinical research, including image registration, segmentation of anatomical structures, quantitative analysis, and application of machine learning techniques. The PhD student will also be expected to take a lead on manuscript writing and preparation, and presentation of scientific material at national and international meetings. The successful candidate will be located in lab space adjacent to other basic and clinical scientists conducting image science research focused upon stroke and other vascular diseases, epilepsy, cancer, human neurodevelopment, adult, child and youth mental health, and traumatic brain injury.

Calgary, Canada’s fastest growing major city, is vibrant and multicultural with a population of approximately one million. Situated less than one hour from the Rocky Mountains, Banff National Park and Lake Louise, Calgary offers great quality of life and outstanding recreational activities.

Interested candidates should submit, via email: 1) a curriculum vitae, 2) a summary of research interests, and 3) the names and e-mail addresses of two individuals willing to provide letters of reference if requested. Please send directly to:

Dr. rer. nat. Nils Daniel Forkert
Assistant Professor
Division of Image Science
Department of Radiology and
Hotchkiss Brain Institute
Faculty of Medicine, University of Calgary