AI-Driven Education Research Fellow

Nanyang Technological University Singapore

Singapore

On-site

SGD 60,000 - 110,000

Full time

12 hours ago
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Job summary

NTU Singapore invites applications for a Research Associate / Research Fellow to lead AI-driven innovation for teaching and learning. The role focuses on strategic research directions, developing AI-enabled educational tools and analytics to enhance student learning experiences.

You will collaborate across disciplines, conduct rigorous experimentation, and translate findings into scalable educational solutions, with emphasis on responsible AI practices and pedagogical grounding.

Qualifications

  • Masters for Research Associate; PhD for Research Fellow.
  • 2+ years hands-on AI/ML experience, incl. development of AI-enabled tools.
  • Familiarity with AI in educational settings, data privacy and ethics.
  • Strong communication skills and collaboration abilities.

Responsibilities

  • Apply AI technologies to develop scalable educational solutions.
  • Develop and integrate AI models, agents and data-driven apps.
  • Conduct experimentation and iterative refinement for robustness.
  • Align AI innovations with pedagogical principles and evidence.
  • Translate findings into reusable tools and actionable recommendations.
  • Contribute to workshops and initiatives strengthening AI in teaching.

Skills

Programming skills
ML frameworks
LLM APIs
Data visualization tools
AI governance & ethics
Communication skills

Education

Master's degree in AI/CS/Learning analytics
PhD degree (preferred for Research Fellow)

Tools

AI development frameworks
LLM APIs
Data visualization tools

Job description

NTU Singapore invites applications for a Research Associate / Research Fellow to lead AI-driven innovation for teaching and learning. The role focuses on strategic research directions, developing AI-enabled educational tools and analytics to enhance student learning experiences.

You will collaborate across disciplines, conduct rigorous experimentation, and translate findings into scalable educational solutions, with emphasis on responsible AI practices and pedagogical grounding.

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