The Digital Health Lab is a research lab within the School of Exercise Science, Physical and Health Education at the University of Victoria, Canada. Our aim is to find innovative and effective ways to use digital communication technology to help improve people’s health and well-being.

Full-time/part-time: Full-time

Anticipated starting Date: Spring/Fall 2021

Work Location: University of Victoria, Victoria, B.C. and remote

Educational requirements/qualifications and experience: Applicants must have a doctoral degree in Kinesiology, Public Health, Behavioural Science, Psychology, Epidemiology or a related field by the time they start the position.

Position Summary: This postdoctoral work opportunity will be in the area of preventing and managing chronic disease using digital health. Read more about our research here: https://www.uvic.ca/research/labs/digitalhealth/. This position will provide many opportunities to gain experience in designing and evaluating digital health interventions, writing and publishing manuscripts in the public health field, and overseeing small and large-scale trials (i.e., assisting with recruitment, participating in program/intervention evaluation and dissemination).

Interested applicants should submit:

  1. A cover letter indicating the position/s they are applying to, the date they are available to start, and two-three references;
  2. A resume/CV;
  3. A one-page summary of their research interests, including a brief description of their career plans. We will review applications on a rolling basis.

Department Contact Name and Title: Sam Liu, PhD (samliu@uvic.ca), Assistant Professor and Director of the Digital Health Lab in the department of School of Exercise Science, Physical and Health Education at the University of Victoria

Applicant Required Documents

  1. Cover Letter
  2. Curriculum Vitae / Resume
  3. References (2-3)

We currently have a fully funded Ph.D. fellowship available at our lab starting September 2021. The PhD training opportunity will be in the area of managing childhood obesity using digital health technology. The training will have the opportunity to gain experience in designing and evaluating digital health interventions.

The Project:

Childhood obesity is a major public health challenge in Canada. Family-based lifestyle programs delivered at local communities can be effective. However, many families cannot attend these in-person programs due to travel distances and program availabilities. Additionally, these programs are not tailored to the family’s culture, motivation level and personal goals. With continued improvements in the sophistication and access to digital communication technology (e.g. Internet, wearables, smartphones), delivering tailored lifestyle programs using these tools may be well-suited to meet these challenges. The goal of this project is to develop and evaluate the efficacy of a web-based/mobile-based intervention aimed to manage childhood obesity.  This project can be incredibly impactful for B.C. residents as this web-based program can improve the access, reach and personalization of family-based childhood obesity management programs.


A two-year research-based Master of Science degree in health-related fields (e.g. kinesiology, health science, psychology). Knowledge in computer programing/science will be an asset.

Stipend & Funding: 

The projects are funded through the Canadian Institute of Health Research. The candidate will receive up to $30,000 of funding per year. The funding will consist of a combination of stipend and TAships.  The successful candidate will also be encouraged to apply for a range of scholarships.

The Application Process:

To apply, please send a statement outlining your research interest and previous research experience, academic CV, copies of your previous publications, contact info of two references and a copy of your unofficial transcript to Dr. Sam Liu (samliu@uvic.ca).

To apply, please send a cover letter outlining your interest in this position as well as how your background makes you a suitable candidate, resume/CV, and a copy of your transcript (unofficial is acceptable) to Dr. Liu.