Research Fellow (AI in Education)

About the role

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

Key responsibilities

• Provide intellectual and research leadership in identifying and advancing strategic research directions in AI for NTU's pedagogy.
• Apply AI technologies such as generative AI, machine learning and learning analytics to build scalable educational solutions.
• Develop technical solutions involving AI model integration, AI agents and data-driven applications.
• Run technical experiments and iterative refinement to optimise the functionality, reliability, usability and educational effectiveness of AI tools.
• Combine technical development with empirical research so innovations are grounded in pedagogical principles and evidence.
• Turn research findings into recommendations, reusable AI tools and scalable solutions.
• Contribute to knowledge-sharing activities and workshops on AI-enhanced teaching and learning.

Required profile

• PhD 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, prototyping and evaluating AI tools.
• Prior research leadership.
• 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.

Required skills

• Programming proficiency with machine learning frameworks, LLM APIs and AI application development.
• Experience with AI development frameworks, software engineering practices and data visualisation tools is advantageous.
• Ability to design research studies, formulate research questions and evaluate AI-enabled interventions; experience in experimental design, learning analytics and human-centred design is advantageous.
• Good written and oral communication skills.