Choose a supervisor

MSc and PhD students are required to have a confirmed supervisor prior to application. Please note that MPH applicants are not required to select a supervisor.

In your application, explain how your educational, research, and/or career experiences prepared you for your selected area of research and align with your senior supervisor’s research interests. You are required to describe the general area(s) of research interest, but a full research proposal is not required.

You can find more information about applying for graduate studies, finding a supervisor, and what supervisors look for in their students on the Graduate and Postdoctoral Studies website.

HOW DO I IDENTIFY A POTENTIAL SUPERVISOR?

• Determine research area you would like to investigate
• Identify a faculty member who is conducting research related to your area of interest
• Reach out and see if they are available to supervise you

WHAT DOES A SUPERVISOR LOOK FOR IN A STUDENT?

• Evidence of academic performance
• Research potential
• Evidence of ability to perform at the graduate level
• Leadership skills

HOW DO I APPROACH A POTENTIAL SUPERVISOR?

Select a supervisor you would like to work with and send them an email including:
• A resume or CV
• A brief statement of research intent
• Your academic transcript

Actively recruiting supervisors:

Scott Lear

Dr. Lear is actively looking for students wishing to purse a doctoral degree (PhD) in areas of prevention and management of cardiovascular diseases. A range of projects are currently underway including investigations of the built environment, the use of technology to support patients in their homes and global health. Applicants with interest in one or all three areas will be considered and must have a recent MSc with evidence of publications in a relevant field. Statistical analysis experience is an asset. The applicant should also demonstrate the ability to work independently and have excellent verbal and written communication skills.

Bohdan Nosyk

The Health Economic Research Unit (HERU) at the BC Centre for Excellence in HIV/AIDS, led by Dr. Bohdan Nosyk, is seeking quantitatively-oriented MPH, MSc and PhD students with interests in health services research, health economics, and the analysis of linked health administrative databases. BCCfE-HERU is a multidisciplinary team of health economists, statisticians and public health researchers. Our program of research focuses primarily on statistical and cost-effectiveness analysis related to health service delivery in HIV/AIDS, substance use disorders and viral hepatitis. More information can be found on HERU’s website.

Applicants must meet the minimum requirements for admission to the MSc or PhD program in the Faculty of Health Sciences; have strong quantitative experience, and preferably experience using SAS, R or similar; have a strong academic record; and have excellent oral and written communication skills.

Interested applicants can send an email with CV and transcripts to bohdan_nosyk@sfu.ca

Ralph Pantophlet

The Pantophlet Lab is seeking bright and highly self-motivated students wishing to pursue a doctoral degree (PhD) in vaccine immunology. Current investigations in the lab focus on understanding antigenic presentations impacting the ontogeny of glycan- and CD4bs-specific neutralizing antibodies to HIV-1 and cross-neutralizing antibodies to the stem of flu HA. Applicants must meet minimal requirements for admission to the PhD program in the Faculty of Health Sciences, have demonstrable training in microbiology, immunology or a closely related discipline and hands-on research laboratory work experience beyond laboratory courses.

Hui Xie

Dr. Xie is recruiting students wishing to pursue MSc or PhD degrees in the Faculty of Health Sciences.  Research interests include developing statistical methods for the design and analysis of clinical and population studies of arthritis diseases and cancer.

Dr. Xie is looking for trainees who are interested in working with large administrative databases and/or rich mobile health data. Knowledge of statistical programs (SAS and/or R) and experiences of working with large data sets are desirable. Applicants can send an email with a resume and transcript to xiehuix@sfu.ca.