Key Responsibilities

• Design and run user studies of human-AI group collaboration in online and/or in-person settings.
• Study how different AI teammate roles, such as peer, facilitator, leader, or observer, affect group interaction.
• Develop study protocols, task instructions, surveys, interview questions, and participant-facing materials.
• Collect and analyze behavioral, survey, communication, and interaction-log data from collaborative tasks.
• Conduct mixed-methods analysis that connects quantitative results with qualitative observations and participant feedback.
• Identify patterns in team coordination, trust, workload, participation balance, intervention timing, and group cohesion.
• Translate research findings into clear design implications for adaptive AI teammates.
• Support pilot testing, study deployment, data cleaning, visualization, and research documentation.
• Contribute to internal reports, presentations, and publication-oriented research outputs.

Minimum Qualifications

• Currently enrolled in a Master’s or Ph.D. program in Human-Computer Interaction, Human Factors, Cognitive Science, Psychology, Computer Science, Information Science, Robotics, Communication, or a related field.
• Experience designing, conducting, or analyzing human-subject studies, user studies, behavioral experiments, or usability studies.
• Strong understanding of empirical research methods, including experimental design, survey design, and behavioral measurement.
• Experience analyzing quantitative data using Python, R, MATLAB, or similar tools.
• Experience with qualitative or mixed-methods analysis, such as coding open-ended responses, analyzing interviews, or interpreting observed interaction patterns.
• Strong written communication skills and ability to synthesize research findings into clear insights.
• Research familiarity with human-AI collaboration, group interaction, AI teammates, or collaborative decision-making.

Bonus Qualifications