Post-Doc, Machine Learning for Lung Image Analysis

University of British Columbia
Location: 
Vancouver, Canada
Job Type: 
Full Time
Closing Date: 
Friday, December 21, 2018

Post-­‐doctoral Fellowship at the Centre for Heart and Lung Innovation at St Paul’s Hospital, University of British Columbia, and the Department of Radiology and School of Biomedical Engineering, University of British Columbia

Salary: Commensurate with qualifications and experience

Program: Machine Learning for Image Analysis in Lung Disease

A post-­‐doctoral position with one-­‐year term and extendable for another year with satisfactory progress is available immediately for a highly motivated recent PhD graduate to join an interdisciplinary collaborative research team at the UBC Center for Heart Lung Innovation (HLI). The position will be focused on machine learning for the characterization of imaging biomarkers in chronic obstructive pulmonary disease (COPD) and associated diseases.

The research fellow will work under the supervision of James Hogg, MD, PhD, an Emeritus Professor in the Department of Pathology at the University of British Columbia and Senior Investigator at the HLI located at St Paul’s Hospital and Roger Tam, PhD, an Associate Professor in the Department of Radiology and School of Biomedical Engineering, University of British Columbia.

The research will involve the development and application of machine learning methods to the analysis of structural and histopathological images of the lung to enhance the biological understanding of COPD and associated diseases. Machine learning approaches will be used to discover and link imaging biomarkers across multiple scales and imaging modalities.

Eligibility: Highly motivated individuals with a recent PhD in computer science, biomedical engineering, or related field, a strong publication record, and excellent academic credentials are encouraged to apply. Demonstrated familiarity with a range of machine learning methods, including ensemble learning methods such as random forests and feature learning methods such as deep learning, and expertise in the application of such methods to image analysis are required. Experience with biomedical imaging data is preferred. UBC hires on the basis of merit and is committed to employment equity. We encourage all qualified persons to apply. However, Canadians and permanent residents of Canada will be given priority.

Duration: 1 year with possible extension for a second year.

Contact: Please submit a cover letter, curriculum vitae, transcripts from formal post-­‐secondary school education, and the names and full contact information for three professional references. The cover letter should include a description of your previous research experience and long-­term career goals. Send electronic applications by December 21, 2018 to roger.tam@ubc.ca.