Cognitive Engineering Research Associate (Term, 0.25 FTE)

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

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.