Postdoctoral Fellow (Data Visualisation and Analytics)

Job Description

The Department of Communications and New Media is seeking applicants for the position of Postdoctoral Fellow in Data Visualisation and Analytics, specialising in data visualisation and analytics. Applicants should demonstrate a keen understanding of current and emerging trends in the communications industry, as well as excellence and innovation in practice-led pedagogy.

Qualifications

Successful candidates must hold a PhD in a discipline closely related to data visualisation and analytics by date of appointment, with evidence of interdisciplinary research applying computational methods to the social sciences. This includes but is not limited to social science disciplines (sociology, political science, communication, economics etc.) or computer science and related disciplines (information science, data science, computational physics etc.)

Evidence of successful teaching in methods or theory.

Responsibilities

This is a full-time position for two years. The successful candidate is expected to teach two courses per year (50%) and work with existing faculty members in pursuing data visualisation and analytics research projects (50%). The successful will also contribute towards publishing top-tier journal articles and curriculum development in data visualisation and analytics. Other responsibilities may include service roles. The anticipated start date for this position is July 1, 2025, prior to the commencement of the August 2025 semester.

Application Instructions

1. A Cover Letter
2. Full CV: academic and employment history, degrees obtained, scholarships and awards, post-doctoral and clinical/ residency training (where applicable), other study and research opportunities, Name of PhD supervisor, etc. 
3. A research statement (max of 3 pages) of major accomplishments in research, citing up to five research, citing up to five significant publications, creative work or other scholarly contribution, and explaining their significance. Including sample copies, complete list of publication and impact, and evidence of international visibility.
4. A Teaching Statement that focuses on evidence of student learning and educational leadership (if applicable). A preface (maximum 300 words) that makes the case for your appointment. This should be highly distilled summary of your key contributions to student learning and educational leadership, guided by your teaching philosophy.
5. Scanned copies of academic certificates and transcripts
6. A list of FOUR  Referees (including one from the applicant’s PhD or post-doctoral advisor/supervisor). Referees are to submit their letters directly to cnmcareer@nus.edu.sg 

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

More Information

Location: Kent Ridge Campus

Organization: Arts & Social Sciences

Department : Communications And New Media

Employee Referral Eligible: No

Job requisition ID : 25923