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 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 pedagogy; Research Fellows provide intellectual and research leadership.
• Apply AI technologies such as generative AI, machine learning and learning analytics to build scalable educational solutions.
• Develop and implement technical solutions involving AI model integration, AI agents and data-driven applications.
• Run technical experiments, testing 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 and technical results 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 (Research Associate) or PhD (Research Fellow) in AI, 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.
• 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.
• Advantageous: experience with AI development frameworks, software engineering practices and data visualisation tools.
• Advantageous: experimental design, learning analytics and human-centred design experience.