About this role
Job title: Research Assistant - Mixed method analyst (Dr. Seth)
About the Role The Research Assistant will support an ongoing engineering education research project examining how first-year engineering design pedagogy shapes students' confidence, perceptions, and engagement. Working under faculty mentorship, the assistant will analyze an existing multi-semester dataset using both quantitative and qualitative methods.
What You'll Do
- Conduct statistical analyses on the dataset using appropriate quantitative methods
- Code and interpret qualitative responses, contribute to theme development, and triangulate findings across data sources
- Document analytic decisions and prepare results for conference and journal publications
- Help translate findings into instructional recommendations
- Work under the supervision of Dr. Deeksha Seth in the Department of Mechanical Engineering
What We're Looking For
- Enrollment in an engineering, education, psychology, data science, or related undergraduate program
- Strong interest in mixed-methods research, engineering education, and/or student learning
- Foundational knowledge of statistics (descriptive statistics, correlations, basic inferential tests)
- Ability to read, interpret, and summarize academic literature
- Strong written communication skills for documenting analyses and contributing to publications
- Ability to work independently and collaboratively under faculty supervision
Compensation & Benefits
- Wage: $15 per hour
- Pay type: hourly
- Benefits: not specified