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Research Assistant (Designing for Relational Safety in Children's Online Peer Interactions), DID

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Job Description

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

Location_ONB: Kent Ridge Campus

Posting Start Date: 24/06/2026

Job Description

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.

Qualifications

Minimum 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, etc.

Preferred Qualifications

  • 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 ID: 33492

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Job ID: 152180725

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