Research Assistant; Designing Relational Safety in Children's Online Peer Interactions), DID
Singapore
Listed on 2026-08-30
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Research/Development
Research Scientist
Job Title: Research Assistant (Designing for Relational Safety in Children's Online Peer Interactions), DID
University-Level Unit: College of Design and Engineering
Faculty/Department-Level Unit: Division of Industrial Design
Employee Category: Research Staff
: Kent Ridge Campus
Posting
Start Date:
24/06/2026
We are hiring a Research Assistant to contribute to a project focused on Designing for Relational Safety in Children's Online Peer Interactions. The project aims to understand, design, and evaluate sociotechnical supports that help tweens navigate the complexities of online peer interactions. A core concern is how children can protect themselves while preserving their relationships. Within this overarching theme, we offer intellectual flexibility in defining specific research inquiries and design directions based on the researcher’s expertise and interests.
The successful candidate will contribute across the research trajectory, from qualitative grounding (e.g., conducting interviews with stakeholders such as teachers and parents, and running co-design sessions with children) to translating these insights into tween‑centered interactive prototypes. The researcher is expected to disseminate findings through high‑impact publications in top‑tier HCI venues.
QualificationsMinimum Qualifications:
- A BS or MS in HCI, Design, Information Science, Computer Science (Human‑centered), or a closely related field.
- Research experience in HCI, preferably with exposure to academic publication or conference venues (e.g., CHI, CSCW, ASSETS or DIS).
- Proficiency in qualitative and/or mixed‑methods research, including experience in co‑design ethnographic studies.
- Experience working with children as study participants.
- Experience in system prototyping, with the ability to translate conceptual design requirements into functional artifacts.
- Technical expertise in integrating AI/ML features into user‑facing systems.
Req : 33492
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