NSTC Project Title｜The Rise of Generative AI: Adoption, Dependency, and Hallucinations
Principal Investigator｜Prof. Trisha Lin (Distinguished Professor, College of Communication & College of Innovation, National Chengchi University, Taiwan)
About the Project
This research investigates how users adopt, depend on, and experience “hallucinations” with Generative AI from the perspective of communication and social sciences. We integrate survey research, quantitative modeling, qualitative methods, and big data analytics to produce high-impact academic and policy insights.
Open Positions & Qualifications
•1 PhD-level RA, 1 Master-level RA (must be full-time enrolled students)
•Background in communication or social science research methods, with strong interest in new communication technologies and social impacts
•Quantitative skills: survey design, data cleaning, statistical analysis; proficient in SPSS and SEM
• Preferred/plus skills:
oExperience in big data / text analysis (Python, R)
oQualitative research experience (interviews, coding)
oStrong English reading, writing, and communication
skills
oApplicants with clear academic career aspirations will
be given priority
Responsibilities
• Literature review and synthesis
• Data analysis (survey, modeling, text/big data, or qualitative coding)
• Research administration (IRB processes, file management, meeting notes, project coordination)
What You’ll Gain
• First-hand experience with cutting-edge Generative AI research
•Methodological training (SEM, quantitative/qualitative, big data)
•Opportunities to become a co-author for conference presentations
•Access to research resources and datasets
•Strong performers may receive co-author for conference papers and recommendation letters
(Salary, work hours, and duration will follow NCCU/NSTC guidelines and may be discussed)
Application
Please email the following documents to Prof. Trisha Lin:
📧 tsuichuan918@gmail.com; 113465003@g.nccu.edu.tw
•CV (with current student status indicated)
•Research experience (including methods/software proficiency)
•Representative work or writing sample
Deadline: 2026/8/31
Applications are reviewed on a rolling basis. Suitable candidates will be appointed immediately.
(Email subject line: Application for RA_Position_Name_PhD/Master)
Publish Date：2026-07-13 00:00:00
