Postdoctoral Fellowship Offer: Enhancing the personalisation of an eHealth behaviour change program (ACCELERATION) using deep learning models of emotional expression
The ACCELERATION program aims to improve behavioural risk factors associated with the development of non-communicable chronic diseases. It is a structured 12-week ehealth program that was developed using an integrated knowledge translation process. It primarily targets increasing physical activity, as well as increasing fruit and vegetable consummation, and reducing tobacco smoking. It uses well established behavioural and motivation techniques to enhance intrinsic motivation in participants.
The current funded study will leverage laboratory based tasks and ecological momentary assessment techniques to be able to capture facial and voice-based emotional data. This data will then be used to personalise certain aspects of the ACCELERATION program to enhance individual behavior change. The position will be based at the Montreal Behavioural Medicine Centre (https://mbmc-cmcm.ca), which is a collaborative centre between the CIUSSS-NIM Hôpital du Sacré-Coeur de Montreal, Concordia University, and UQAM
The individual who is selected for this position will be expected to work with study PI’s, Drs. Simon Bacon (https://mbmc-cmcm.ca/member/simon-bacon/), Eric Granger (https://www.etsmtl.ca/Professeurs/egranger/Accueil?lang=en-CA), and Kim Lavoie (http://mbmc-cmcm.ca/member/kim-lavoie-2/), in delivering the project. The PhD student will be able to work on a variety of research-related aspects of the study including:
- Delivery of the psychophysiological and ecological momentary assessment testing protocol
- Recruitment of participants
- Post-testing data processing and analyses
- Development of deep learning based algorithms
- Participating in stakeholder engagement activities
- PhD in a related discipline (e.g., Psychology, Physiology, Kinesiology/Exercise Science, Medicine, Computer Science)
- Demonstrated experience conducting research in at least one of the following areas
- Stress testing
- Ecological momentary assessment
- Cardiovascular, respiratory, or inflammatory marker assessment
- Applied psychological assessments
- Deep learning models
- Effective oral and written communication skills
- Excellent interpersonal skills
- Demonstrated research productivity (peer-reviewed publications and conference presentations)
- Ability to work autonomously and take a lead role on projects under supervision of principal investigators
Preference will be given to candidates with:
- Experience using integrated stakeholder engagement strategies
- Openness to learn new methods and techniques in an applied clinical setting
- Ability to communicate (orally) in both English and French
Provincial, national and international candidates are encouraged to apply
Start date, Duration, Stipend, and Location:
The start date is flexible but not later that September 2020; funding has already been received.
The position is full time for one year and is renewable. The funding package consists of a stipend (consistent with CIHR funding levels) plus conference / training funding.
The successful candidate could be registered at Concordia University (www.concordia.ca) or UQAM (www.uqam.ca); the actual work would be conducted at the CIUSSS-NIM, Hôpital du Sacré-Coeur de Montreal (www.crhscm.ca).
To apply, please forward the following:
- A complete curriculum vitae, including summary of GPA’s, a full publication list (including hyperlinks where possible) and email contact details for two referees
- A letter of motivation and statement of research accomplishments and future research goals
- 2-3 research publications that best demonstrate your fit for the position
How to apply:
- The complete application package must be emailed to: email@example.com. Please include “ACCELERATION Fellowship” in the subject line.
- Queries about the application should be sent to either Dr. Lavoie (firstname.lastname@example.org) or Dr. Bacon (email@example.com).
- The closing date for receipt of applications is Friday 13th December 2019, 5 pm EST. Interviews will be conducted in January 2020.