Research Fellow (AI Literacy and Future of Work)

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

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