Research Assistant / Associate (1 Year Contract)

About the role

SUSS is seeking a Research Assistant / Research Associate for a 1-year contract to support the research evaluation of an Adaptive Learning System (ALS)-Enabled Community Academic Support Programme. The project uses a mixed-methods approach to examine how community-based academic support and adaptive learning technology support student learning and development, especially for students from lower socioeconomic backgrounds. The RA works closely with the Principal Investigator and the wider research team.

Key responsibilities

• Support the planning and implementation of qualitative and quantitative research activities
• Conduct and/or support interviews, focus groups, observations and other qualitative data collection
• Prepare research instruments, interview protocols, surveys and other materials
• Manage, organise, clean and prepare qualitative and quantitative data for analysis
• Carry out qualitative coding and thematic analysis
• Support quantitative data management and statistical analysis, and integrate and interpret qualitative and quantitative findings
• Conduct literature reviews and synthesize relevant research
• Coordinate large-scale research logistics across multiple sites and stakeholder groups, including participant recruitment, scheduling, data collection and tracking
• Liaise with community partners, participants and internal and external stakeholders
• Maintain project records and data management processes, and support reports, presentations and manuscripts

Required profile

• Master's degree in Education, Psychology or a related social science
• Prior research experience in education, psychology or a related field
• Demonstrated experience in both quantitative and qualitative research methods
• Experience with large-scale datasets (organisation, cleaning, management and analysis)
• Strong organisational and project coordination skills, good communication skills and attention to detail
• An advantage: experience researching children and young people, students from lower socioeconomic backgrounds or community-based educational programmes

Required skills

• Qualitative analysis software such as NVivo
• Quantitative/statistical software such as SPSS, R or equivalent
• Understanding of mixed-methods research designs