Research Associate / Research Fellow (AI in Education)

About the role

Nanyang Technological University (NTU) Singapore, through its InsPIRE institute focused on Education Transformation, is looking for a Research Associate or Research Fellow to provide specialist expertise in AI-driven innovation for teaching and learning. The role leads and shapes foundational and translational research on AI and learning analytics, develops and evaluates applications that improve teaching effectiveness and student learning, and translates findings into actionable insights and scalable solutions. Research Fellows must also provide research leadership.

Key responsibilities

• Identify, shape and advance strategic research directions in AI for NTU's signature pedagogy (Associate: intellectual independence; Fellow: research leadership).
• Apply AI technologies such as generative AI, machine learning and learning analytics to build innovative, scalable educational solutions.
• Develop and implement technical solutions involving AI model integration, AI agents and data-driven applications where appropriate.
• Run technical experiments, testing and iterative refinement to optimise the functionality, reliability, usability and educational effectiveness of AI-enabled tools.
• Combine technical development with empirical research so that AI innovations are grounded in pedagogical principles and robust evidence.
• Turn research findings and technical innovations into recommendations, reusable AI tools and scalable solutions.
• Contribute to knowledge-sharing activities, workshops and strategic initiatives on AI-enhanced teaching and learning.

Required profile

• Masters degree (Associate) or PhD (Fellow) in artificial intelligence, computer science, learning analytics or a related field.
• At least 2 years of hands-on technical experience in AI, machine learning or generative AI application development, including designing, developing, prototyping and evaluating AI tools or systems.
• Familiarity with emerging AI technologies, AI agents, analytics in education, pedagogical principles and responsible AI practices (data privacy, research ethics, AI governance) is highly desirable.
• Good written and oral communication skills.
• Ability to work independently and collaboratively within interdisciplinary teams and meet project timelines.
• Research Fellows must show prior research leadership.

Required skills

• Proficiency in programming, with hands-on experience in machine learning frameworks, LLM APIs and AI application development.
• Experience with AI development frameworks, software engineering practices and data visualisation tools is advantageous.
• Competence in analytical, critical thinking and problem-solving, including independent research study design and evaluation of AI-enabled interventions; experience in experimental design, learning analytics and human-centred design is advantageous.