PhD in Machine Learning for Medical Imaging

Carleton University
Job Type: 
Full Time
Closing Date: 
Thursday, February 1, 2018

There are two Ph.D. positions available in our Medical Image Analysis Lab in Fall 2018 at Systems and Computer Engineering at Carleton University, Canada.

Project: The projects will involve developing advanced image segmentation methods based on latest machine learning technologies to enable (semi-) automated identification of challenging 3-dimensional anatomic structures from images with low contrast and/or spatial resolution. Image analysis methods will be developed to identify cardiac tissues that are abnormal or at-risk of progressing from sub-clinical to symptomatic disease states. We are also exploring the use of machine learning techniques (e.g., convolution neural networks) for image segmentation and registration. These projects will be in collaboration with the Ottawa University Heart Institute and Sunnybrook Research Institute.

For top Candidates, I am happy to nominate to the Ontario Trillium Scholarship (OTS), where more information can be found through the link below:

Qualifications: The ideal candidate will have a master’s degree in, Engineering, Computer Science, Medical Physics, or related field with experience in medical image processing.  Familiarity and past experience with 3D Slicer, python and/or VTK/ITK programming would be an asset.

Please send your CV and a recent publication/statement of interest to the following email.

Contacts:  Eran Ukwatta (

Located in Ottawa, Ontario, Carleton University is a dynamic and innovative research and teaching institution committed to developing solutions to real-world problems by pushing the boundaries of knowledge and understanding. Its internationally recognized faculty, staff, and researchers provide academic opportunities in more than 100 programs of study to more than 28,000 full- and part-time students, from every province and more than 100 countries around the world. Carleton’s creative, interdisciplinary, and international approach to research has led to many significant discoveries and creative work in science and technology, business, governance, public policy, and the arts.

Minutes from downtown, Carleton University is located on a beautiful campus, bordered by the Rideau River and the Rideau Canal. With over 12 national museums and the spectacular Gatineau Park close by, there are many excellent recreational opportunities for individuals and families to enjoy. The City of Ottawa, with a population of almost one million, is Canada’s capital city and reflects the country’s bilingual and multicultural character. Carleton’s location in the nation’s capital provides many opportunities for research with groups and institutions that reflect the diversity of the country.