Job offer

European Commission; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

The European Commission seeks a tenure-track Assistant Professor in Learning-Oriented Sustainable Assessment at the National Institute of Education, Singapore. This role involves teaching, research in educational technology and AI, and curriculum development aimed at enhancing learning outcomes. The successful candidate will participate in interdisciplinary collaboration and contribute to educational innovations.

Qualifications

• Demonstrated potential to secure and manage competitive research grants.
• Emerging record of high-quality research publications.
• Evidence of excellence in teaching.

Responsibilities

• Develop and sustain a productive research programme in assessment.
• Design and teach undergraduate and graduate courses.
• Supervise initial teacher education candidates.

Skills

Excellent verbal and written communication skills in English

Ability to contribute collaboratively

Education

PhD or equivalent qualifications

Job description

Organisation/Company National Institute of Education Research Field Technology Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Singapore Application Deadline 18 Jul 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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 15 in the world for research impact in the field of Education.

The Learning Sciences & Assessment Department (LSA) is an interdisciplinary academic group focused on advancing the understanding of learning, educational technology, and assessment through multiple perspectives, with the ultimate goal of enhancing learning outcomes for all learners. Our mission is to empower educational practitioners as designers of effective learning experiences and environments, and as active contributors to reflective communities of practice.

The department bridges theory and practice through diverse research methodologies, including experimental studies, reflection-in-action, action research, design experiments, and ethnography. LSA currently offers courses for initial teacher education and a wide range of graduate programmes, including Master of Education (Educational Assessment), 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) and Doctor of Philosophy (Education).

LSA invites applications for a tenure-track Assistant Professor position in Learning-Oriented Sustainable Assessment (LOSA), with specialisation in Assessment for Learning, Educational Technology, and emerging developments in the Science(s) of Learning, such as Generative Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR).

The successful candidate will contribute to existing and new programmes, engage in collaborative research and teaching, and provide service at the department, institute, university, national, and international levels. Interdisciplinary scholarship and cross-cutting research interests are highly encouraged.

Requirements

Candidates should possess:

• A PhD or equivalent qualifications in a relevant field (e.g., learning-oriented sustainable assessment, educational technology, artificial intelligence in education, or learner agency)
• Demonstrated potential to secure and manage competitive research grants
• An emerging record of high-quality research publications and presentations in relevant fields
• Evidence of excellence in teaching and understanding of school practice
• A developing international network of scholarly collaborators
• Excellent verbal and written communication skills in English
• A collegial disposition with the ability to contribute collaboratively across disciplinary boundaries.

Responsibilities

The successful candidate is expected to:

• Develop and sustain a productive research programme in assessment, incorporating educational technology and AI-enhanced practices
• Design and teach undergraduate, graduate, and initial teacher education courses, particularly in learner-centred assessment, technology-enhanced assessment, and learning sciences
• Collaborate with faculty colleagues to develop innovative curriculum and support school-based practices
• Supervise initial teacher education candidates and graduate students at both master’s and doctoral levels
• Secure external research funding and publish in high-impact peer-reviewed journals
• Establish professional networks with local and international researchers and practitioners
• Participate actively in departmental, institutional, and NIE-wide service activities.

Application

Please submit your application together with the following documents to us:

• Cover letter addressing the position requirements
• Research statement outlining current and future research agenda
• Teaching statement, including teaching philosophy and experiences
• Course outlines or teaching plans for courses you are interested in teaching
• Curriculum Vitae (including full publication list and contact information of three referees)
• Copies of the best publications
• Any additional supporting documents that demonstrate qualifications and credentials.

Closing Date

This position will remain open until filled. Early application is encouraged.

Only successful candidates will be notified (via email).