Job Description

We are seeking an enthusiastic and capable full-time Research Associate to work on a project on addressing online toxicity. The successful candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and develop solutions to tackle online toxicity.

The contract is for 1 year and is renewable up to 2 years.

Job tasks

The successful candidate will assist in work towards identifying personas. Responsibilities include data collection via API and social media listening tools, as well as conducting thematic analysis and network mapping. They will also assist in conducting literature reviews, participant recruitment, and compliance with research ethics and data privacy requirements. They will also be required to support research admin and deliverables such as reports/journal articles, workshops and webinars.

Qualifications

Applicants should have at least or close to obtaining a Masters in the Social Sciences/Humanities, Computing or other relevant disciplines.

The candidate should have an interest in and knowledge of online harms and online communities, and be familiar with data collection using API and social media listening tools. Familiarity with Singapore’s socio-cultural landscape is an advantage. Applicants would ideally have experience in quantitative and qualitative research relevant to this multidisciplinary project. Those from social sciences, communications, computer science, or related fields are encouraged to apply. 

Essential requirements

• Excellent spoken and written English skills
• Strong ability to follow instructions, adhere to deadlines and demonstrate attention to detail
• Proven ability to collaborate and work in a team
• Strong time management and organisational skills
  
  

Required documents
To apply, please send in your CV (including 2 referees), a cover letter, and a writing sample in one PDF.

More Information

Location: Kent Ridge Campus

Organization: NUS Centre for Trusted Internet & Community

Department : NUS Centre for Trusted Internet & Community

Employee Referral Eligible: No

Job requisition ID : 31717