Nanyang Technological University, Singapore (NTU Singapore) is a world-class, research-intensive public university dedicated to providing a transformative education, advancing research, and nurturing global leaders. Driven by innovation, excellence, and a commitment to positive global impact, NTU fosters an inclusive and vibrant ecosystem where cutting-edge technology meets education.

At the Institute for Pedagogical Innovation, Research and Excellence (InsPIRE) - Education Transformation, we are dedicated to advancing teaching and learning through educational innovation, research and evidence-informed practice. At the heart of our work is the strategic use of AI and learning analytics to deepen our understanding of how students learn, generate actionable insights into learning behaviours and outcomes, and empower educators to make informed pedagogical decisions. By harnessing emerging technologies, educational data and interdisciplinary research, we seek to develop innovative, personalised and inclusive learning experiences that enhance student engagement and success.

We are looking for a Research Fellowto provide specialist expertise in AI-driven innovation for teaching and learning, contributing to the advancement of evidence-informed educational practices at NTU. The role will focus on leading and shaping strategic foundational and translational research directions, developing and evaluating innovative applications of AI and learning analytics to improve teaching effectiveness and student learning experiences. The Research Fellow will drive high-impact research initiatives, foster interdisciplinary collaborations, and translate research findings into actionable insights and scalable educational solutions. Applicants for the Research Fellow role should also provide research leadership.

Key Responsibilities:

Provide intellectual and research leadership in identifying, shaping and advancing strategic research directions in AI for advancing NTU's signature pedagogy.
Apply AI technologies, including generative AI, machine learning and learning analytics, to develop innovative and scalable educational solutions.
Develop and implement technical solutions involving AI model integration, AI agents and data-driven applications, where appropriate.
Conduct technical experimentation, testing and iterative refinement to optimise the functionality, reliability, usability and educational effectiveness of AI-enabled tools.
Integrate technical development with empirical research to ensure that AI innovations are informed by pedagogical principles and supported by robust evidence.
Translate research findings and technical innovations into actionable recommendations, reusable AI tools and scalable educational solutions that contribute to teaching and learning improvement.
Contribute to knowledge-sharing activities, workshops and strategic initiatives that strengthen institutional capabilities in AI-enhanced teaching and learning.

Job Requirements:

PhD (for Research Fellow) qualification degree in artificial intelligence, computer science, learning analytics or related field.
At least 2 years of relevant hands-on technical experience in AI, machine learning or generative AI application development, including experience in designing, developing, prototyping and evaluating AI-enabled tools or systems.
Familiarity with emerging AI technologies, AI agents and analytics in educational settings, pedagogical principles and responsible AI practices, including data privacy, research ethics and AI governance, is highly desirable.
Good written and oral communication skills.
Proficiency in programming skills with hands-on experience in machine learning frameworks, LLM APIs, and AI application development. Experience with relevant AI development frameworks, software engineering practices and data visualization tools will be advantageous.
Competent in analytical, critical thinking, and problem-solving skills, with the ability to independently conceptualise research studies, formulate research questions, and evaluate AI-enabled educational interventions. Experience in experimental design, learning analytics, human-centered design will be advantageous.
Ability to work independently and collaboratively within interdisciplinary teams and deliver high-quality outcomes within project timelines.
Demonstrate prior research leadership.

We regret to inform that only shortlisted candidates will be notified.

Research Fellow (AI in Education)