Graduate Assistant- Consumer Privacy Protection Behaviors in the Era of AI (Research)

Career Readiness Learning Objectives:

• Communication: Clearly and effectively communicate with (1) Dr. Simon Dang (Principal Investigator, PI) and (2) participants for recruiting, coordinating survey sessions, and supporting data collection activities.
• Critical Thinking: Apply analytical reasoning when reviewing literature, processing survey data, and assisting with dataset preparation for statistical analysis.
• Professionalism: Understand and respect the confidentiality of research participants as the research does not collect personal identifiable information. Demonstrate punctuality and respect for both the PI and research participants.

About the role

The primary responsibility of the Research Assistant is to work directly with Dr. Simon (Huy) Dang on his research project investigating how perceived AI data vulnerability influences privacy concerns, behavioral responses (reactive and proactive), and consumer online well-being.

Responsibilities

• Research and collect data through online surveys, literature searches, and other project-specific methodology.
• Assist in recruiting and screening research participants for data collection phases.
• Schedule, organize, and report on the status of research activities.
• Enter, clean, and prepare datasets for statistical analysis (e.g., PLS-SEM, PROCESS macro).
• Assist in reviewing and summarizing academic literature related to AI privacy, consumer behavior, and online well-being.
• Support the writing and editing of materials for academic publication and conference presentations.
• Meet with the faculty supervisor on a regular basis to maintain ongoing communication regarding the progress of the research project.

Requirements

• Available only to Gannon graduate students who can commit for the full 2026–2027 academic year (i.e., Fall 2026 & Spring 2027).
• Enrolled in a graduate program in Marketing, Business, Psychology, Communications, or related field.
• GPA of 3.0 or higher.
• Proficient in using Microsoft Excel and basic data management tools.
• Excellent verbal and written communication skills.
• Strong attention to detail and ability to maintain data confidentiality.

Qualifications

• Prior coursework or experience in research methods, consumer behavior, or statistical analysis is preferred.
• Familiarity with survey tools (e.g., Qualtrics, Google Forms) or statistical software (e.g., SPSS, Python, R, JASP, SmartPLS, Stata) is a plus.
• Self-motivated, responsible, and detail-oriented.

Schedule

• Full 2026–2027 academic year (Fall 2026 and Spring 2027).
• 10 hours per week.
• Office hours depending on candidate's schedule.

Pay

$12.66 per hour.

Benefits

Tuition remission of $4,500 per semester.

Physical Demands

Ability to lift at least 4.4 lbs.