Research Assistant (Psychology/Education)

Nanyang Technological University Singapore; Singapore; On-site; SGD 42,000 - 54,000; Full time

Job summary

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore invites applications for a Research Assistant (Psychology/Education) on a 24-month contract basis. The role supports PATHS, a MOE-funded longitudinal study tracking primary students and examining learning trajectories.

Responsibilities include coordinating operations, administering assessments, data entry and ethics documentation, and training junior staff.

Qualifications

• Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field.
• Strong interpersonal and communication skills; good command of spoken and written English.
• Well-organised, self-motivated, and able to meet deadlines; willingness to travel to school sites.
• Proficient in Microsoft Office (Excel and Word).

Responsibilities

• Liaise with primary schools and coordinate day-to-day research operations.
• Administer psychoeducational assessments and tasks one-to-one with students.
• Distribute, collect, and track parent and teacher questionnaires.
• Maintain research records; support data entry, cleaning, and quality checking.
• Assist with ethics documents, literature searches, and stakeholder materials.
• Train and coordinate student research assistants during data collection.
• Perform administrative and procurement tasks as required by the PI.

Skills

Interpersonal communication

Data analysis

English proficiency

MS Excel

Organization

Education

Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field

Tools

SPSS

jamovi

R

Excel

Job description

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore (NTU) invites suitable applications for the position of Research Assistant (Psychology/Education) on a 24-month contract basis, renewable subject to performance and project needs.

Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS)

Project Introduction: The PATHS study is a Ministry of Education (MOE)-funded longitudinal investigation tracking 500–600 Primary 1 students enrolled in the Learning Support Programme (LSP) and/or Learning Support for Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional domains, and examines how these profiles evolve and predict academic outcomes. Findings will inform more targeted, evidence-based support for low-progress learners.

The Research Assistant will support the day-to-day implementation of this large-scale study under the supervision of the Principal Investigator.

Key Responsibilities

• Liaise with participating primary schools and coordinate day-to-day research operations
• Administer psychoeducational assessments and experimental tasks one-to-one with students
• Distribute, collect, and track parent and teacher questionnaires
• Maintain research records; support data entry, cleaning, and quality checking
• Assist with ethics documentation, literature searches, research reports, and stakeholder materials
• Train and coordinate part-time student research assistants during data collection
• Perform administrative and procurement tasks as required by the Principal Investigator

Essential Job Requirements

• Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field
• Strong interpersonal and communication skills; good command of spoken and written English - essential for data analysis and communication with stakeholders
• Well-organised, self-motivated, and able to meet deadlines; willing to travel to school sites
• Proficient in Microsoft Office (particularly Excel and Word)

Preferred

• Prior experience administering psychometric or psychoeducational assessments to children
• Experience conducting school-based research or working with young children (Primary 1–3 level)
• Familiarity with statistical software (e.g., SPSS/jamovi/JASP, R) and data management

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU