MSc Student - Medical Image Analysis

University of Alberta/
Edmonton, Alberta, Canada
Job Type: 
Full Time
Closing Date: 
Wednesday, October 24, 2018 is a fast-growing start-up that augments ultrasound with artificial intelligence and machine learning to bring an expert-level on-the-spot diagnosis of ultrasound images to any clinician at point-of-care of a patient. This expertise can range from developing technologies for screening abnormalities in newborn babies at remote locations, monitoring old patients at home, aiding trauma patients in emergency rooms, diagnosing liver and kidney diseases in family doctor's offices.

We are looking for two MSc students to join our rapidly growing team and conduct research in the field of medical image analysis and visualization. The specific projects will involve solving noise reduction and automated image segmentation of thyroid nodules from ultrasound imaging using novel machine learning frameworks. The successful candidates will get an opportunity to interact closely with radiologists, scientists and developers from the and the University of Alberta. The positions require spending 50% of the research time with the University of Alberta and 50% of the research time with Medo’s office in Edmonton, Canada.


General Requirements

The successful candidates should have an undergraduate degree in Biomedical Engineering, Computer Science, Electrical Engineering or related field. The positions require:

  1. Knowledge in computer graphics and post-processing of medical image data.
  2. Knowledge in machine learning frameworks such as Tensorflow, Theano and Keras.
  3. Programming knowledge in Matlab, Python, C++, C#, template development environment.
  4. Computer programming experience with image processing software packages such as ITK, VTK, OpenCV.
  5. Self-motivated, independent and organized worker.

Please send your curriculum vitae and copies of transcripts of all degrees to Dr. Kumar Punithakumar ( and Dr. Dornoosh Zonoobi ( before October 24, 2018 for consideration.