Research Associate (1 Year Term, 0.25 FTE) - Cognitive Engineering

University of Toronto; Toronto; On-site; CAD 13,000 - 26,000; Part time

Job summary

A leading educational institution in Toronto is seeking a Research Associate for the Cognitive Engineering Laboratory. This role involves overseeing research in human-automation interaction, managing lab members, and conducting systematic reviews. The ideal candidate should possess a Ph.D. in human factors engineering, have substantial academic experience, and demonstrate strong analytical and communication skills. This position offers part-time employment, focusing on impactful research and scholarly publications.

Qualifications

• Minimum of five years of experience in an academic setting, supervising students and directing research.
• Relevant experience in the field of Human Factors.
• Experience in experimental design, inferential statistics, systematic review, and meta-analysis.
• Experience with the development of research funding proposals.

Responsibilities

• Develop and execute the research vision to achieve research goals.
• Direct junior lab members and design systematic review studies.
• Analyze results and prepare reports and presentations.
• Interact with industrial and academic partners for research collaboration.
• Author scientific publications and present at conferences.

Skills

Expert-level knowledge of experimental design, inferential statistics, systematic review, and meta-analysis

Excellent communication skills, both written and oral

General knowledge of research trends and methodologies in human-interaction

Ability to identify opportunities for research and collaboration

Comfort engaging respectfully with partners

Education

Doctoral (Ph.D.) degree in human factors engineering

Job description

Research Associate (1 Year Term, 0.25 FTE) - Cognitive Engineering

Date Posted:12/03/2025
Req ID:46296
Faculty/Division: Faculty of Applied Science & Engineering
Department: Dept of Mechanical & Industrial Eng
Campus: St. George (Downtown Toronto)

Description:

The Cognitive Engineering Laboratory in the Department of Mechanical and Industrial Engineering (MIE) is looking to fill a Research Associate - Term position immediately. The group carries out research in the area of human-automation interaction and nuclear power applications.

The Research Associate - Term will work directly under the supervision of Greg A. Jamieson of the MIE Department on a systematic review and meta-analysis. The duties will include: developing and executing the research vision with PI to achieve research goals, directing junior lab members, designing and executing systematic review and meta-analysis studies, analyzing results, preparing reports and presentations, interacting with industrial and academic partners, developing research proposals and funding applications, and authoring scientific publications and conference talks. The research associate is expected to publish both at conferences and in journals.

Minimum Qualifications

Education

• Doctoral (Ph.D.) degree, with a focus on human factors engineering

Experience

• Minimum of five (5) years of experience in an academic setting, working directly in the supervision of undergraduate/graduate students, and/or directing research projects
• Relevant experience in the field of Human Factors
• Experience in experimental design, inferential statistics, systematic review, and meta-analysis
• Experience with the development of research funding proposals

Skills

• Expert-level knowledge of experimental design, inferential statistics, systematic review, and meta-analysis
• Excellent communication skills, both written and oral
• General knowledge of research trends and methodologies in human- interaction
• Ability to identify opportunities for research and collaboration with industrial and academic partners
• Comfort engaging respectfully with industrial and academic partners

Other

• Well-developed interpersonal, communication and analytical skills
• Ability to exercise tact and judgement in dealing with personnel under their supervision and community members.
• Demonstrated initiative and technical ability
• Detail-oriented
• Ability to work independently, with minimal supervision
• Demonstrated commitment to equity, diversity, inclusion and the promotion of a respectful and collegial learning and work environment

Closing Date:12/11/2025,11:59PM ET
Employee Group: Research Associate
Personnel Subarea: Research Assoc
Appointment Type: Grant - Term
Schedule: Part-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term), pro-rated to 25% FTE: $13,380.00 - $25,087.50
Job Category: Engineering / Technical

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please seehttp://uoft.me/UP .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please [e-mail] .