Research Fellow (NIE-Dir's Off)

Responsibilities

• Manage the research project, including scheduling and budgeting
• Propose, design and implement appropriate research methodologies and instruments
• Assist in planning and executing tasks to achieve key deliverables
• Liaise with schools for data collection and interviews
• Conduct intervention training for teachers
• Conduct quantitative analysis, including Structure Equation Modelling, using software programs (e.g., SPSS and EQS)
• Conduct qualitative analysis using software programs (e.g., NVivo)
• Prepare reports, publications and presentation materials
• Present research findings through various platforms
• Draft research proposals
• Handle administrative matters related to the NIE's Motivation in Educational Research Lab (https://www.ntu.edu.sg/nie/research-labs/motivation-in-educational-research-laboratory-(merl)), including updating of the website
• Any other administrative/research-related duties as assigned by Principal Investigator
• Application
• Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.
• Workday Job Requisition: R00025023
• (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Fellow--Director-s-Office---NIE-_R00025023)
• Closing Date
• Closing date for advertisements will be set to 14 calendar days from date of posting.

Requirements

• PhD in Psychology, Education or a related field
• Experience conducting quantitative and/or qualitative research
• Excellent written and communicative skills
• Disposition for critical thinking and inquiry
• Good analytical skills
• Excellent problem-solving skills
• Proactive and able to work independently

Additional Information

The National Institute of Education invites suitable applications for the position of Research Fellow on a 30-month contract at the Director's Office. Project Title: Teachers' AI Competency and Acceptance and Students' Outcomes: A Self-Determination Theory Approach Project Introduction: This research project seeks to explore the critical relationships between teachers' AI competency and acceptance, and students' outcomes, e.g., perceived autonomy-support, AI literacy, need satisfaction, motivation and engagement, using the Self-Determination Theory (SDT; Deci & Ryan, 1985, 2000) as the guiding framework. It has a 2-phase mixed-methods design, with a cross-sectional quantitative design in Phase 1 and a mixed-methods intervention design in Phase 2.

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