Research Assistant (Temp), Teaching & Learning Centre

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

Key Responsibilities
The Research Assistant (RA) will provide research support to the Principal Investigator (PI) and research team. Key responsibilities include:
•    Conduct literature searches and reviews on work-integrated learning, university-workplace learning, learning across boundaries, and other relevant areas.
•    Assist with the cleaning, organisation, formatting and preparation of qualitative data for analysis.
•    Support qualitative data analysis, including coding, categorisation and organisation of data under the guidance of the research team.
•    Assist with identifying, organising and summarising emerging patterns and themes from the qualitative data.
•    Assist with maintaining organised research records, literature, references and project documentation.
•    Undertake other research-related task as assigned by the PI and research team.

Requirements
•    Bachelor degree, or currently pursuing a undergraduate or post graduate degree, preferably in Education, Social Sciences, Psychology, Sociology or a related discipline.
•    Good written and verbal communication skills in English.
•    Strong organisational skills and attention to detail, particularly when handling and preparing qualitative research data.
•    Familiarity with qualitative research methods and qualitative data analysis.
•    Experience with NVivo or other qualitative data analysis software would be an advantage.
•    Ability to conduct literature searches using academic databases 
•    Ability to work independently, manage research tasks systematically and meet agreed timelines.
•    Proficiency in Microsoft Office applications such as Word and Excel.

Duration of Employment
•    Employment period: 20 October-31 December 2026
•    Duration: Approx. 2 months