Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research. NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives.

An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education.

The Learning Sciences & Assessment (LSA) Department is an interdisciplinary academic department committed to advancing research, teaching, and professional practice in learning sciences, educational technology, and assessment. Through theoretically grounded and methodologically rigorous scholarship, LSA seeks to deepen understanding of how people learn and how learning environments, pedagogies, and technologies can be designed to improve educational outcomes across diverse contexts.

LSA brings together complementary expertise spanning learning design, technology-mediated learning, assessment, analytics, and educational innovation. The department offers programmes across initial teacher education and graduate education, and supports the preparation of educators, researchers, and instructional leaders who can design, study, and lead meaningful learning in schools, higher education, and professional settings. Current programmes include:

Master of Arts (Instructional Design and Technologies)
Master of Education (Learning Sciences and Technologies)
Master of Arts in Professional Education (Training and Development)
Master of Teaching
Master of Science (Science of Learning)
Doctor of Education (Technologies and Technology-Mediated Learning Environments)
Doctor of Philosophy (Education)

The Opportunity

The LSA at the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore invites applications for a tenure-track Assistant/Associate Professor position in AI-Enabled Instructional Design and Professional Education.

The Department seeks a candidate whose scholarship and teaching will strengthen its research, graduate teaching, and programme development in an area of strategic growth. We are particularly interested in applicants whose expertise lies at the intersection of instructional design, adult learning, professional education, and the pedagogically sound use of artificial intelligence to support learning design, facilitation, feedback, and learner support.

Candidates with expertise in one or more of the following areas will have an added advantage:

Instructional design for higher education, workplace learning, and continuing education
Adult learning and professional education
Online, blended, and technology-mediated learning design
AI-enabled instructional design, including generative AI and intelligent tools for learning design, facilitation, feedback, and learner support
Human-centred design of AI-supported learning environments
Evaluation of learning interventions in organisational, professional, and higher education settings
Ethical, responsible, and pedagogically sound integration of AI in instructional design and professional learning
Micro-credentials, workplace assessment, and learning innovation in professional contexts
Implementation research, design-based implementation research, or improvement science

Requirements for appointment at Assistant Professor rank:

A PhD or equivalent qualification in Instructional Design, Learning Sciences, Educational Technology, Adult Learning, Professional Education, or a closely related field.
A clear research agenda relevant to AI-enabled instructional design, adult learning, and professional education, with expertise in one or more of the areas identified in this advertisement.
Demonstrated potential to develop and sustain a strong research programme, including the ability to secure and manage competitive research funding.
An emerging record of high-quality scholarly publications and conference presentations in reputable international outlets.
Evidence of teaching effectiveness, or strong potential for teaching excellence, in areas such as instructional design, adult learning, online and blended learning, professional education, or AI-enabled learning design.
Familiarity with educational or professional practice and an interest in research with relevance to higher education, workplace learning, continuing education, or professional learning contexts.
Potential to build productive collaborations with local and international researchers, educators, industry partners, and other stakeholders.
Excellent communication skills in spoken and written English.
Collegiality, professionalism, and willingness to contribute to interdisciplinary collaboration, curriculum development, graduate supervision, and academic service.

Additional requirements for Associate Professor rank:

Established record of excellence as an Assistant/Associate Professor at reputable universities.
Outstanding research record in AI-enabled instructional design, adult learning, and professional education.
Proven track record of securing competitive research grants.
Extensive publication record in high-quality international peer-reviewed journals.
International research network with established collaborations.
Experience working in or with educational institutions, including schools, is preferred.

Responsibilities

The successful candidate will be expected to:

Establish and sustain a productive research programme, securing competitive research funding.
Publish in high-impact peer-reviewed journals or other reputable scholarly outlets.
Design, teach, and coordinate courses across graduate and professional education programmes.
Collaborate with faculty colleagues to design innovative curricula and support programme development in areas aligned with the Department’s strategic priorities.
Supervise graduate students and contribute to the academic and professional development of learners in higher education and professional contexts.
Build professional networks with local and international researchers, educators, and industry or professional partners.
Contribute actively to service at the departmental, institutional, national, and international levels.
Share expertise across NIE through collaborative platforms and interdisciplinary projects.

Application

A cover letter outlining suitability of the position.
A curriculum vitae, including qualifications, teaching experience, research achievements, full publication list, and academic service.
Three sample publications
Research Impact Statement (up to 5 pages)

Applicants should demonstrate the significance and impact of their research by addressing the following:

Key Contributions: What are your most important research impacts to date?
Evidence of Impact: How has your work influenced your field, policy, or practice? Provide evidence (e.g., publications, citations, policy uptake, industry adoption).
Academic Impact: How has your work advanced theory, methods, or knowledge?
Societal/Policy/Industry Impact (if applicable): Describe influence on policy, regulation, industry standards, or broader society.
Research Identity: What distinguishes your work? Articulate a clear and coherent research trajectory.
Contribution and Leadership: Clarify your role in collaborative projects.
Future Impact: Outline how your research will shape the field over the next 5–10 years.

Teaching Impact Statement (up to 3 pages)

Applicants should demonstrate their impact on student learning and education by addressing:

How they have enhanced student learning and engagement
What teaching innovations or improvements they have implemented and why
How they promote interdisciplinary thinking
How they incorporate experiential and collaborative learning
How they have contributed to a positive teaching culture

Applicants are encouraged to provide evidence to support their claims.

Closing Date

The closing date for applications is 30 June 2026 or until the position is filled.

Other Information

More information on LSA can be found at https://www.ntu.edu.sg/nie/about-us/academic-departments/Learning-Sciences-Assessment

For enquiries, interested applicants may write to Associate Professor Shanti Divaharan, Head of LSA at shanti.divaharan@nie.edu.sg copied to Miss Ng Shiu Fern at shiufern.ng@nie.edu.sg.

Note to applicants

Only successful candidates will be notified (via email).

Assistant / Associate Professor in AI-Enabled Instructional Design and Professional Education

Post My Job

Nanyang Technological University - Singapore