Visiting Fellow (Computational Communication)

National University of Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research university seeks a Visiting Fellow in Computational Communication to enhance its expertise in media studies, visual communication, and artificial intelligence. This role requires a PhD in Communication with significant research capabilities in computational techniques. The successful candidate will be expected to teach and apply data science methodologies in communication. Remuneration is competitive, providing benefits such as medical and housing support.

Benefits

Competitive remuneration

Medical benefits

Housing support

Relocation assistance

Research start-up funding

Qualifications

• PhD in Communication or closely related discipline by appointment date.
• Experience in data journalism and strategic communication using data-driven methods.
• Ability to teach courses in various related fields.

Skills

Computational communication research

Data science applications

Teaching experience in related fields

R programming

Python programming

Education

PhD in Communication or closely related discipline

Job description

Job Description

Visiting Fellow in Computational Communication

The Department of Communications and New Media at the National University of Singapore invites applications for Visiting Fellow, with expertise in one or more of the following areas: media studies, visual communication, science communication, cultural studies, and computational communication. We are especially interested in candidates with a focus on Asia-centred and artificial intelligence research.

The National University of Singapore (NUS) is a leading research‑intensive university that is consistently ranked among the world’s top universities. Remuneration is competitive and includes medical, housing, relocation and other benefits. Significant research start‑up funding is available.

Singapore is a modern, English‑speaking city state that is connected to the world via global commerce, finance and transport networks with a stable climate year round and a cosmopolitan mix of cultures and languages.

Qualifications

PhD in Communication or closely related discipline by date of appointment, with a specialisation in methods for digital data collection, analytics, and/or visualisation. Evidence of excellence in computational communication research and teaching. Candidates should demonstrate the ability to conduct research that applies data science in communication contexts such as data journalism and data‑driven strategic communication for health, marketing, or politics, and consider the implications of data‑driven methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach courses in computational communication, social media research, network analysis, and/or time series analysis.

How to Apply (Closing Date: 30 September 2025)

Interested parties are required to submit a complete dossier:

• A detailed CV should include the following sections: education, professional background, teaching and supervision, research activities and achievements, honors and awards, and service accomplishments to date. Be sure to list all academic and non‑academic positions.
• Diversity Statement
• A complete list of publications should be provided, categorised into papers, books, and reviews, including page numbers, and presented in bibliographic format.
• Provide a citation and impact analysis of your research output, excluding self‑citations and cross‑citations in co‑authored work. Highlight papers with the highest citation counts and creative works with significant impact.

We regret that only shortlisted candidates will be notified. For any questions, please email [e-mail].

To ensure full consideration, applications must be received by 30 September 2025 (Singapore Time 11:59 PM). Only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Arts & Social Sciences

Department: Communications And New Media

Employee Referral Eligible: No

Job requisition ID: 30233

Further information about working at the National University of Singapore available at http://www.nus.edu.sg/careers/whyjoinus.htm.

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