EdTech Development Specialist, AICET, NUS (1-year Contract; Renewable) 1

National University of Singapore; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading educational institution is seeking an EdTech Development Specialist to lead initiatives transforming teaching and learning through technology and generative AI. This role requires collaboration with faculty, development of AI-enhanced educational tools, and participation in research projects to guide future educational strategies. Candidates should possess a relevant bachelor's degree, experience in teaching or educational research, and excellent analytical and communication skills. This position is based at Kent Ridge Campus in Singapore.

Qualifications

• Bachelor’s degree in Education, Learning Sciences, Cognitive Science, or related discipline.
• Demonstrable experience in teaching, educational research, educational product development, or learning design.
• Excellent communication and analytical skills.

Responsibilities

• Collaborate with faculty across disciplines to diagnose teaching challenges.
• Develop technology or AI-enhanced solutions for pedagogical needs.
• Pilot learning activities and evaluate their impact.

Skills

Teaching

Educational research

Learning design

Communication skills

Analytical skills

Project management

Education

Bachelor’s degree in Education or related discipline

Master’s degree in a relevant field

Job description

EdTech Development Specialist, AICET, NUS (1-year Contract; Renewable)

The EdTech Development Specialist will help shape how technology – especially generative AI – transforms teaching and learning at NUS and beyond. The role blends educational insight, human‑centred innovation, and strategic problem‑solving to develop new approaches to learning in the age of AI.

Job Description

• Collaborate with faculty across disciplines to diagnose teaching and learning challenges, then develop and test technology or AI‑enhanced solutions to address specific pedagogical needs.
• Investigate how learners engage with technology and generative AI such as LLMs, and develop targeted tools and learning interventions to improve the quality and effectiveness of their use.
• Work with the AICET ScholAIstic (https://scholaistic.com) team and other in‑house product teams to manage products and support development of the next generation of AI‑powered educational tools.
• Engineer sophisticated AI prompts and workflows for complex, multi‑step learning, feedback and assessment tools.
• Pilot experimental learning activities/assessments with students, collect feedback and data, and evaluate their pedagogical impact.
• Collaborate with diverse stakeholders across AICET, NUS and external partner institutions to align pedagogical objectives, technical design and project delivery.
• Develop training resources and conduct sharing sessions to build capacity within NUS and the wider education community for the effective use of AI in teaching, learning and research.
• Lead research projects on the NUS community’s needs and practices, synthesise findings and generate insights that guide AICET’s future initiatives.

Qualifications

• Bachelor’s degree in Education, Learning Sciences, Cognitive Science (with a focus on learning/development) or a related discipline; OR a Bachelor’s degree in any discipline with relevant pedagogical experience
• A Master’s degree in a relevant field will be an advantage.
• Candidates should have substantial demonstrable experience in at least two of: teaching, educational research, educational product development, or learning design.
• Experience with learning analytics or user data analysis will be an advantage.
• Excellent communication and analytical skills, with the ability to convey complex ideas clearly and logically
• Strong interpersonal, project management, and organisational skills, and the ability to work effectively across multidisciplinary teams
• Intellectual curiosity and openness to learning across diverse disciplinary and technical domains

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Req ID: 31181