Jan 11, 2019

Postdoctoral researcher in social/personality/health psychology

  • Carleton University
  • Carleton University, Ottawa, ON, Canada
Postdoc Health Personality Positive Psychology Quantitative Research Social Social Cognition

Job Description

Applications are invited for a postdoctoral researcher position working with Dr. Marina Milyavskaya (https://carleton.ca/goallab/) in the department of Psychology at Carleton University, in Ottawa, Canada. The Goal Lab, under the direction of Dr. Marina Milyavskaya, conducts research on self-regulation and goal pursuit, combining multiple methodologies from social, personality, and health psychology including experimental, longitudinal, and ecological momentary assessment to better understand what makes for successful goal pursuit. We also study self-regulation across multiple domains, including health, academic, and relationship goals.

The postdoctoral researcher will work closely with Dr. Milyavskaya and her lab in developing and implementing new studies on self-regulation, motivation, and goal pursuit. They will also be encouraged to conduct data analyses and write papers based on large datasets previously collected by Dr. Milyavskaya. We are currently looking to expand the scope of our research in new directions such as the collection of physiological data to better understand the role of effort in self-regulation; the viability of interventions that improve goal pursuit and self-regulation, and/or the collection of objective indicators of goal progress. Candidates are encouraged to bring their ideas and prior experience to help develop and implement new research directions. Candidates will also have the opportunity to mentor undergraduate and graduate students. 

The ideal candidate will have:

  • A PhD in social psychology or in an adjacent field (e.g., motivation science, cognitive psychology, health psychology) by the start date
  • A strong academic track record including publications in leading international journals.
  • An interest in bridging basic and applied research
  • Knowledge of advanced statistics and prior experience working with complex data (e.g., multilevel modelling, Bayesian approaches, network analysis, structural equation modelling).
  • Experience with one or more of the following methodologies: experience sampling, collecting psychophysiological data (i.e., physiological measures of effort); cognitive methodologies (i.e., reaction time measures of cognitive control); machine learning
  • Good computational and/or programming skills (e.g., mastery of R, experimental software, simulations, machine learning).
  • Experience or interest in practices of transparency and open science
  • Experience and interest in training and supervising junior scientists.
  • Excellent organizational skills and efficient working style.


This is a two-year position, with a possibility of renewal for a 3rd year. The postdoc can start in either the Summer or Fall of 2019, as will be mutually agreed upon.

Interested candidates are asked to send (1) a letter of interest that describes research accomplishments, skills, interest in the position, and future research plans, (2) a CV, and (3) names and contact information of 2-3 professional references to marina.milyavskaya@carleton.ca with “Postdoc application” in the subject line. Dr. Milyavskaya will be available to meet with interested candidates at the SPSP 2019 conference in Portland or the ICPS 2019 conference in Paris.


Carleton University



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