Job Description

We are seeking a motivated Research Assistant to support an ongoing research project examining youth mental health and well-being in relation to everyday technology use. The project adopts a sociotechnical and participatory approach, focusing on how young people (teens and young adults) experience, interpret, and reflect on digital technologies in their daily lives.

Key Responsibilities

• Lead qualitative research activities, including participant recruitment, interview scheduling, conducting semi-structured interviews, and managing study logistics

• Plan and run co-design workshops and youth-centered participatory sessions (synchronous/asynchronous), including facilitation, documentation, and synthesis

• Develop, iterate, and deploy design prototypes (low- to mid-fidelity, and where appropriate higher-fidelity) to support study activities and research interventions, coordinate prototype testing and data collection

• Conduct thematic analysis and interpretation of qualitative data (e.g., interviews, workshop artifacts), including coding and insight generation

• Design and administer surveys (as needed) and conduct preliminary analysis

• Conduct literature reviews on youth mental health, digital well-being, and related HCI/CSCW research

• Prepare research materials (e.g., study protocols, consent/assent forms, interview guides), support IRB/ethics documentation, and contribute to academic outputs (papers, reports, presentations)

Qualifications

Required Qualifications

• Undergraduate or graduate student (or recent graduate) in Design, HCI, Psychology, Social Sciences, Public Health, or a related field

• Strong interest in youth mental health, digital well-being, and sociotechnical research

• Excellent facilitation, communication, and organizational skills

• Ability to work independently and take ownership of research activities

Preferred Qualifications

• Prior experience conducting interviews and facilitating workshops (especially with youth populations)

• Experience with prototyping tools/workflows (e.g., Figma, mobile prototyping, interactive systems, or equivalent)

• Familiarity with qualitative analysis methods and tools (e.g., NVivo or similar), and/or survey tools

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Division of Industrial Design

Employee Referral Eligible: No

Job requisition ID : 31295