Research Associate
6 months ago
Project Title: DRivers, Enablers and pathways of Adolescent developMent in Singapore (DREAMS): The Singapore Longitudinal Cohort Study (SG-LCS) Phase 1 - Project 7
Project Introduction:
This study seeks primarily to understand (a) the nature of educational pathways made by students through secondary education, (b) the drivers of the decisions made about educational pathways through secondary education (especially self-identity and agency, school and career aspirations, and social and relational contexts), (c) the stability and change patterns of educational pathways as well as factors that may be associated with change. We expect the drivers of educational pathways to be interrelated, and (d) through retrospective investigation, the factors at early childhood and primary school that contribute to educational pathways. Furthermore, this study will allow focus on educational pathways of specific subgroups to understand the differential impact of educational pathways for (e) students with special educational needs (SEN) and (f) for students from financially disadvantaged environments.
Project 7 will focus on a specific subgroup of students from financially disadvantaged environments, investigating development and pathways of at-risk adolescents and other related inquiries.
Requirements
Essential
A Master's degree or above preferably in Learning Sciences, Education, Psychology, Data Science, Educational Neuroscience or a related field; Applicants with a PhD may be considered for a Research Fellow position instead
- Familiar with the Singapore education system (preferably with experience working with disadvantaged learners)
- Familiar with major theories in learning sciences (e.g, adolescent development; individual differences; Educational neuroscience)
- Proficient in using at least one statistical software package (e.g., SPSS, R, Stata, Mplus)
- Experience in coordination and conduct of data collection and organization
- Project management experience, including leading a research team, management of budget, and tracking of project progress
- Possess strong interpersonal communication, writing and language skills
- Able to work independently with minimal supervision.
- Able to work cooperatively in both small (10 Pax)
Preferred
- Proficient or knowledge with Machine Learning algorithms
- Experience in conducting neuroimaging studies in educational contexts
- Experience in working with databases.
Responsibilities
- Liaise with stakeholders (E.g. participating schools/parents/teachers and other researchers involved in the project)
- Planning, preparation, and implementation of data collection
- Planning and analyses of data
- Synthesising of information from research findings
- Management of project-related matters (E.g. Budgeting, progress tracking)
- Writing of reports, publications and preparation of presentation materials
- Other tasks as assigned by the Principal Investigator / Co-PIs
Application
Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.
Please include your name in your CV file name.
Closing Date
Closing date for advertisements will be set to 14 calendar days from date of posting.
Hiring Institution: NIE
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