Postdoctoral Fellow Position in Medical Imaging Analysis

University of Manitoba
Winnipeg, MB, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral Fellow Position in Medical Imaging Analysis

The Hu lab ( and the Wang Lab ( at the University of Manitoba are recruiting a postdoctoral fellow in medical imaging Analysis. The successful candidate will be co-supervised by Drs Hu, Wang, and other local clinicians.

Salary Annual salary range is $45,000-$55,000 CAD plus benefits; salary will be dependent on the candidate’s experience and qualifications.

Closing date Applications will be considered starting now. This posting will remain active until the position is filled.

Term Initial one (1) year contract with a possibility of two years total based on progress.

Application Instructions Individuals interested in this position should submit a cover letter clearly indicating their interest and experience in the research area, a curriculum vitae, and copies of 2 published scientific papers. Applicants should include names and e-mail addresses of two potential referees and indicate the date they will be available to begin. All application materials must be submitted as PDFs in a single email to Dr. Pingzhao Hu ( Review of applications will begin immediately and continue until the position is filled. We appreciate all expressed interests in this position, only those candidates short listed for interview will be contacted.


The successful candidate is expected to join an interdisciplinary team to develop innovative deep learning algorithms to analyze mammography images for early breast cancer detection, thermal images to detect who are at risk for rheumatoid arthritis ( and X-ray images for the early detection of the joint damages. The successful candidate will access some largest medical imaging datasets in Canada to answer some challenging clinical questions. The candidate will also have the opportunities to supervise graduate and undergraduate students and contribute to the grant preparation and writing process.


A PhD in computer science, statistics/math, computer engineering or other related quantitative sciences. The potential candidate should have: (1) Strong programming skills in one or more of the following programming languages: Python, C++ or others; (2) Solid knowledge in statistical theory, machine learning or deep learning; (2) Publications of (medical) imaging analysis in top AI conferences.