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

National University of Singapore – Queenstown

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

The EdTech Development Associate will help shape how technology - especially generative AI - transforms teaching and learning at NUS. The role combines educational insight, research and technical skills, and collaborative problem-solving to support the development of AI-enhanced learning solutions.

Job Description

Collaborate with faculty across disciplines to diagnose teaching and learning challenges, then support the development of technology or AI-enhanced solutions to address specific pedagogical needs.

Work with the AICET ScholAIstic ( team and other product teams to support development and testing of AI-powered educational tools.

Design and refine AI prompts and workflows for learning, feedback and assessment tools.

Assist in literature reviews and data gathering to understand emerging learning challenges and student / educator concerns related to the use of Generative AI in education.

Perform basic data cleaning, organisation, and preliminary analysis of data from digital learning activities and assessments using established methods.

Prepare summary reports and visualisations based on research findings and data analysis under the guidance of senior staff.

Assist in the logistical preparation and execution of test runs of experimental learning activities with students, including scheduling and material preparation.

Support the creation of training resources, guides, and materials to educate the NUS community on best practices for using AI in education.

Provide support for engaging focus groups, surveys, and sharing sessions on teaching and learning with AI.

Qualifications

Bachelor's degree in any discipline. Degrees in Education, Learning Sciences, Computer Science, Information Technology, Cognitive Science, or Data Science are advantageous.

Candidates should demonstrate interest in education or educational technology through relevant coursework, projects, internships, or teaching / tutoring experience.

Good communication skills (English : written and spoken)

Strong inter-personal, time management and organisational skills.

Candidates without experience are welcome to apply

More Information

Location : Kent Ridge Campus

Organization : School of Computing

Department : Department of Computer Science

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