- Location
- NTU Main Campus, Singapore
- Type
- Full-time
- Department
- Education
- Education
- PhD
- Source
- Workday
Description
Nanyang Technological University (NTU) invites applications for a Research Fellow position to support a MOE Tier 2 research project examining how Generative AI output design can enhance higher-order AI literacy, critical evaluation capabilities, and workplace performance among knowledge workers. The project sits at the intersection of AI literacy, human-AI interaction, workplace learning, and the future of work, and aims to develop evidence-based design principles for responsible and effective use of Generative AI technologies.
Key Responsibilities:
Design and conduct quantitative, qualitative, and mixed-methods research studies related to AI literacy and human-AI interaction.
Develop and test AI-enabled interventions and output design features using Generative AI and chatbot platforms.
Conduct participant recruitment, data collection, data management, and research ethics compliance activities.
Analyse survey, interview, behavioural, and system-log data using appropriate statistical and qualitative methods.
Develop and validate instruments for assessing higher-order AI literacy and critical evaluation skills.
Contribute to journal publications, conference presentations, grant reports, and other research dissemination activities.
Collaborate with interdisciplinary researchers and supervise student assistants involved in the project.
Job Requirements:
PhD in Information Systems, Business Analytics, Educational Technology, Learning Sciences, Human-Computer Interaction, or a related discipline.
Strong interest in research relating to Generative AI, AI literacy, digital learning, workplace learning, or human-AI collaboration.
Experience in quantitative and/or qualitative research methods, including surveys, experiments, interviews, or mixed-methods research.
Proficiency in statistical and data analysis tools such as R, Python, SPSS, Stata, or equivalent.
Familiarity with Generative AI applications, prompt engineering, chatbot technologies, or learning analytics is advantageous.
Strong academic writing and communication skills, with evidence of publication potential.
Ability to work independently and collaboratively in a multidisciplinary research environment.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
