About The Position

The primary responsibility of the Research Assistant is to work directly with Dr. Simon (Huy) Dang regarding his research project on consumer privacy protection behaviors in AI-driven environments. The study investigates how perceived AI data vulnerability influences privacy concerns, behavioral responses (reactive and proactive), and consumer online well-being. The Research Assistant will be responsible for assisting the PI in a variety of non-administrative research tasks, which may include but are not limited to: conducting literature reviews on privacy, AI, and consumer behavior; supporting survey instrument development and pilot testing; coordinating and executing data collection on-site and through online platforms (e.g., Prolific, Qualtrics); performing data entry, cleaning, and preparation for statistical analysis; and assisting with the preparation of materials for academic publication and conference presentation.

Requirements

  • Available only to Gannon graduate students who can commit for the full 2025–2026 academic year (i.e., Fall 2026 & Spring 2027).
  • Graduate students 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.

Nice To Haves

  • 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 candidate wanted.

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.

Benefits

  • 10 hours/week at $12.66/hour.
  • Tuition remission is $4,500 per semester.
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