Posting Reason:
New PositionLocation where work is to be performed:
Main CampusSession:
2026 Fall Semester | Trimestre d'automneFaculty:
Faculté des sciences sociales / Faculty of Social SciencesUnit:
School of Psychology_Giorgio Tasca_JMJob Classification:
Research Assistant (CUPE)Posting Type:
Recherche / ResearchCourse Title:
N/ACourse Code:
N/ASection:
Supervisor name (if known):
Date Posted (YYYY/MM/DD):
2026/07/20Applications must be received BEFORE (YYYY/MM/DD):
2026/07/31Description of tasks (hours):
Unless specified below, specific allocation of hours to various tasks should be articulated in a description of work negotiated and signed by you and the supervising professor prior to the commencement of work.
Recherche / Research:0Préparation / Preparation:0Contact avec étudiants / Contact with Students:0Correction - Notation / Grading:0Surveillance / Proctoring:0Formation / Training:0Autre / Other:0Number of positions:
1Expected Enrolment:
N/AWork Start Date:
September 01, 2026Work End Date:
September 13, 2026Total Work Hours:
20Hourly Rate:
AE-RA-Tuteur / TA-RA-Tutor : $31.89 ou/or $50.25 (2024-2025)The academic year starts on September 1 and ends on August 31.
Undergraduate students will be paid at the lower rate; while graduate students will be paid at the higher rate.
These rates do not included vacation pay nor statutory pay.
These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.
Language of Work:
Anglais | EnglishRequirements and Nature of Work:
Responsibilities:
Research duties related to a study on counselling self-eIicacy development among
psychotherapy trainees including but not limited to:
Oversee data collection and management using Qualtrics
Data integrity
Scoring validated psychological instruments
Analysing data with advanced data analysis
Preparation of manuscripts, conference presentations, and other knowledge translation activities.
Qualifications:
Graduate student in the School of Psychology with expertise in Longitudinal data analyses
Advanced statistical techniques (e.g. latent growth analysis, data imputation to handle missingness)Advanced experience with multilevel modelling using R
Additional Information and/or Comments:
All University of Ottawa employees are required under provincial law to successfully complete all mandatory legislated training offered by the University. The list of training requirements may be modified by provincial law. If you are invited to continue the selection process, please notify us of any particular adaptive measures you might require. We may consult with the Health and Wellness sector of Human Resources, if needed. Any information you send us will be handled respectfully and in complete confidence.
The hiring process will be governed by the current CUPE 2626 collective agreement; you can click here to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact the academic unit to communicate the accommodation need.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
Skills Required
- Graduate student in the School of Psychology
- Expertise in longitudinal data analyses
- Advanced statistical techniques (e.g., latent growth analysis, data imputation)
- Advanced experience with multilevel modelling using R
- Experience managing data collection with Qualtrics
What We Do
The University of Ottawa is a bilingual, research-intensive university in Canada that offers a wide range of undergraduate, graduate, and continuing education programs across ten faculties.
