Visiting Fellow (Computational Communication)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Visiting-Fellow-%28Computational-Communication%29/30233-en_GB/

We regret that only shortlisted candidates will be notified.

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 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.

How to Apply

Interested parties are required to submit a complete dossier to the NUS Career Portal:

• 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 [Confidential Information].

Only shortlisted candidates will be notified.
Further information about working at the National University of Singapore is available at http://www.nus.edu.sg/careers/whyjoinus.htm.