Job Description

The National University of Singapore (NUS) is a leading research-intensive university (http://www.nus.edu.sg/) that is consistently ranked among the world’s top universities. Established in 2004, the Department of Communications and New Media (CNM) (http://www.fass.nus.edu.sg/cnm/) is a leader in communication and new media research and education. It offers undergraduate, honours and postgraduate programmes in communications and new media studies, with an innovative curriculum that introduces students to key debates in the areas of media and communication studies, communication management, interactive media design and cultural studies. Its students undertake industry immersion through its compulsory internship programme. Successful candidates for these positions will join an engaging community of 32 full-time faculty and approximately 800 undergraduate and graduate students.

There are two Computational Social Science Full Professor positions, which are broadly envisioned as (a) Computer-mediated interaction and communication, and (b) Computational Behaviour. While our faculty within these areas are driving a wide variety of projects invoking state-of-the-art methods and tools, we envision the role of a Full Professor to define and steer the research directions towards meeting the larger vision and mission of the department to be Asia’s first and premier hub of computational social science research. The candidate would catalyse key intra-university collaborations with faculty in other departments to facilitate methodological innovations and open resource- and data-sharing practices, as well as inter-university connections that widen the impact of the computational social science research at NUS in the broader regional and international area.

The ideal candidates must be well-versed with state-of-the-art computational research, methods and techniques, evidenced through publications that break new ground, and international recognition and leadership roles.

The candidate would enrich the research culture at CNM through building the research agenda and obtaining large research grants, influence key decisions through service roles involving administration, hiring, collaborations, and outreach, and mentor future generations of scholars through teaching and advisory roles.

While their disciplinary training may vary, ideal candidates would show evidence of leadership, international renown, and an established reputation in the research community in one or more of the following areas: computational social science, media and communication studies, information sciences, and technology.

Qualifications

Interested applicants must have a PhD in Communication or closely related discipline, with evidence of leadership in applying computational social science methods to resolve communication and media studies research questions; as well as evidence of excellence in teaching. Candidates should demonstrate ability to use computational methods such as topic modelling, natural language processing, and online experiments in applied contexts such as health communication, social movements, and public opinion. 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.

Responsibilities

Responsibilities will include departmental research leadership, attracting research funding, mentoring junior and mid-level faculty, as well as teaching 110-140 hours (3 courses) per academic year. Other duties include supervision of honours students and graduate students, and administrative service.

Required Documents

Interested applicants are required to submit a complete application dossier as listed below for full consideration. Only shortlisted candidates will be notified.

1. NUS Personal Data Consent Form for Job Applicants (Download file via link - nus.edu.sg/careers/files/NUS-Personal-Data-Consent-for-Job-Applicants.pdf)
2. Detailed CV, including education, professional background, teaching and supervision, research activities and achievements, honours and awards, and service accomplishments to date. List all academic and non-academic positions. Name and contact of your PhD Supervisor. All PhD and postdoctoral supervisors or any other senior authors with close and regular collaborations (full name and institution) should be listed.
3. Scanned copies of academic certificates and transcripts
4. Teaching portfolio and student evaluations
5. A statement (max. of 3 pages) of teaching philosophy and methodology. Where available, evidence of teaching ability such as student feedback or peer review reports should be provided. Evidence of other contributions to education, e.g. curriculum development, pedagogical innovation, production of teaching material, should be provided were available.
6. A statement (max. of 3 pages) of major accomplishments in research, citing up to five significant publications, creative work or other scholarly contribution, and explaining their significance. Sample copies of these contributions should be provided (in the case of books, reviews should be provided).
7. A research plan (3-page) with a proposed start-up research budget and utilisation plan.
8. A complete list of publications, grouped according to papers, books, and reviews, including page numbers, in bibliographic form.
9. Citation (excluding self-citations and in the case of co-authored work, cross-citations) and impact analysis of research output, highlighting papers with the highest citation counts, and creative works with high impact.
10. Documents on service contributions. List and elaborate on the impact of service to department/faculty/university, international academic community, and/or national and international agencies. Note that the documents on research (together with the Teaching Statement and documents on service contributions) should be no more than a maximum of 3,000 words.
11. Diversity Statement
12. A list of SIX external reviewers recommended (names, contact details, applicant's relationship to them). These external reviewers should preferably not be close collaborators or the applicant's PhD/post-doc supervisor.