Research Fellow, Climate & Immersive VR Research

Nanyang Technological University Singapore; Singapore; Vor Ort; SGD 60.000 - 100.000; Vollzeit

Zusammenfassung

NTU's Wee Kim Wee School of Communication and Information invites applications for a Research Fellow to advance the Climate Transformation Program’s Sustainable Societies theme. You will design immersive VR experiments, conduct literature reviews, and collaborate with external vendors and the PI, Professor Shirley Ho, in a multidisciplinary team.

Applicants should hold a PhD in social science or related field, have a strong experimental background, proficiency with SPSS/R/Mplus, and a proven

Qualifikationen

• PhD in social science or related field required.
• Strong foundation in experimental research.
• Demonstrated or hands‑on VR development or immersive media experience.
• Proficiency with statistical tools (SPSS, R or Mplus).
• Strong publication record in peer‑reviewed journals and conferences.

Aufgaben

• Conduct literature reviews and support theory development.
• Design immersive VR experiences for research purposes.
• Engage with external vendors to develop VR experiences.
• Design and conduct experimental studies.
• Perform statistical analyses of experimental data (SPSS, R, or Mplus).
• Contribute to peer‑reviewed publications and conference presentations.
• Prepare progress reports and final research outputs.
• Support dissemination of findings to academic and public audiences.
• Assist with project coordination and administrative tasks.

Kenntnisse

Experimental research

VR development

Statistical analysis

Academic publishing

Interdisciplinary collaboration

Communication skills

Ausbildung

PhD in social sciences

Tools

SPSS

R

Mplus

Jobbeschreibung

NTU's Wee Kim Wee School of Communication and Information invites applications for a Research Fellow to advance the Climate Transformation Program’s Sustainable Societies theme. You will design immersive VR experiments, conduct literature reviews, and collaborate with external vendors and the PI, Professor Shirley Ho, in a multidisciplinary team.

Applicants should hold a PhD in social science or related field, have a strong experimental background, proficiency with SPSS/R/Mplus, and a proven