Description

The Department of Communications and New Media at the National University of Singapore invites applications for tenure-track positions at the Assistant Professor (Presidential Young Professor) level, 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 whose work focuses on Asia and/or artificial intelligence.

The NUS Presidential Young Professorship and NUS Presidential Fellowship Awards aim to attract, support, and empower outstanding early-career academics, enabling them to develop into world-class scholars. At NUS, you will join a diverse and dynamic community of scholars and students, pursue excellence and innovation, and make a positive societal impact. Successful PYP candidates receive a start-up grant package of either SGD 250,000 or SGD 750,000, depending on the needs of their research programme, as well as an additional SGD 250,000 for discretionary spending.

The National University of Singapore (NUS) is a leading research-intensive university, consistently ranked among the world’s top institutions. 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 globally connected via commerce, finance, and transport networks, with a stable year-round climate and a cosmopolitan mix of cultures and languages.

To ensure full consideration, applications must be received by 15 October 2025 (Singapore Time 11:59PM). Only shortlisted candidates will be notified. Only shortlisted candidates will be notified. The application package should be in electronic form. Click here to apply. 

Further information about the University and the Department can be found at https://fass.nus.edu.sg/cnm/ 

Requirements

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 considers 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