Research Assistant (Human-Computer Interaction)

Job Description

We seek an enthusiastic and capable full-time research assistant for the above project at National University of Singapore. The applicant should have expertise in digital well-being and human-computer interaction. A candidate with a background at the intersection of social science and human-computer interaction is preferred, given that the project seeks to understand the theoretical mechanisms and design the human-chatbot interaction. The appointment will be for a period of 0.5 years at the first instance. This project is led by PI Renwen Zhang and co-PI Yi-Chieh Lee to investigate the AI-harm relevant topics. The  research assistant will collaborate with the PIs to publish research in top-tier conferences and journals.

Qualifications

The applicant should possess the following qualifications:

• Possess at least 1-2 years of work experience level
• Advanced statistical programming languages such as R, Python, and SPSS, particularly proficiency in structural equation modeling
• A publication record in both social science and human-computer interaction
• Prior experience in Randomized Controlled Trial experiments, surveys, and computational social science
• Interdisciplinary work experiences with individuals from diverse backgrounds such as computer science, social science, and cognitive science
• Excellent English written and spoken communication skills. Strong organizational skill and interpersonal skill
• Other ad-hoc duties as assigned

Application Instructions

A full application should consist of the following: 

• cover letter, highlighting the applicant’s interest in the projects’ topics and commitment to diversity 
• full curriculum vitae, including the candidate’s academic history, relevant research experience (if any), and list of publications (if any)
• at least one name for a letter of recommendation. If the applicant is shortlisted, recommender(s) will be approached for their letter(s). 
• scanned copies of the educational certificates

Incomplete applications will not be reviewed.

Inquiries about the position may be directed to Dr. Zhang Renwen at r.zhang@nus.edu.sg.

More Information

Location: Kent Ridge Campus

Organization: Arts & Social Sciences

Department : Communications And New Media

Employee Referral Eligible: No

Job requisition ID : 25972