Research Assistant, AI-Driven Math Learning Lab

Nanyang Technological University; Singapore; Hybrid; SGD 47,000 - 71,000; Full time

Job summary

The National Institute of Education invites applications for a Research Assistant on a 12-month renewable contract in the Office for Research. The project AI4SoL focuses on data- and theory-driven AI to enhance the science of learning in mathematics education.

The role includes data management, literature search, and on-site data collection in schools. Qualifications include a Bachelor’s degree in Education, Psychology, or related fields and strong quantitative research skills.

Qualifications

• Bachelor’s degree in Education, Psychology, Learning Sciences, Mathematics Education or related field.
• Strong quantitative research and data analysis experience; knowledge of SPSS/R/Excel.
• Experience with educational assessment design, validity and reliability is preferred.

Responsibilities

• Perform quantitative data management: entry, cleaning, and preparation of datasets.
• Support measurement and assessment validation, including instrument pilot testing.
• Format, proofread, and organize mathematics learning materials and tools.
• Conduct literature searches and maintain citation databases.
• Assist with on-site data collection in schools or research settings.
• Support research administration, documentation, and stakeholder communication.
• Carry out other research-related duties as assigned by Principal Investigators.

Skills

Quantitative research

Data analysis

SPSS

R

Excel

Statistical concepts

Communication skills

Education

Bachelor's degree in Education, Psychology, Learning Sciences, Mathematics Education

Tools

NVivo

Job description

The National Institute of Education invites applications for a Research Assistant on a 12-month renewable contract in the Office for Research. The project AI4SoL focuses on data- and theory-driven AI to enhance the science of learning in mathematics education.

The role includes data management, literature search, and on-site data collection in schools. Qualifications include a Bachelor’s degree in Education, Psychology, or related fields and strong quantitative research skills.