Post-Doctoral Fellowship in Medical Image Analysis

University of Calgary
Location: 
Calgary, AB, Canada
Job Type: 
Full Time
Closing Date: 
Sunday, December 31, 2017

The Medical Image Processing and Machine Learning Laboratory at the Department of Radiology at the University of Calgary, in partnership with the Hotchkiss Brain Institute, invites applications for a full-time academic position at the level of Postdoctoral Fellow in Image Science. We seek highly motivated individuals with specific research interests in medical image processing and machine learning.

 

The position is in alignment with the University of Calgary’s Strategic Research Plan and our focus on Healthy Brain Aging, part of the Brain and Mental Health strategic research theme. Brain imaging also aligns with the University’s Engineering Solutions for Health strategic research theme. Candidates should hold a PhD in computer science, biomedical engineering, mathematics, or an associated program, with a track record of excellence and publications in medical image processing. The successful applicant will be responsible for developing advanced image processing methods for structural and functional analysis of MRI and CT datasets of the brain for computer-aided diagnosis support and clinical research. The postdoctoral fellow 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, 3) a maximum of three reprints of their most relevant publications, and 4) 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

Medical Image Processing and Machine Learning Laboratory

Division of Image Science, Department of Radiology and

Hotchkiss Brain Institute

Faculty of Medicine, University of Calgary

nils.forkert@ucalgary.ca