Postdoctoral Fellow, Artificial Intelligence/Misinformation/ Data Analysis
- Employer
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Closing date
- 25 Jul 2021
View more
- Academic Discipline
- Computer Science, Engineering & Technology, Communication & Media Studies, Social Sciences
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Fixed Term
- Hours
- Full Time
Postdoctoral Fellow (Artificial Intelligence/Misinformation/ Data Analysis)
The successful application is expected undertake the following key responsibilities:
- Conduct research using computational techniques and quantitative research methods (experimental research experience preferred)
- Coordinate research activities among the different investigators under the project and managing the research assistants
- Write and professionally produce research reports and journal articles
The advertised position is full-time for twelve month, based in Singapore.
Applications will remain open until July 25, 2021.
Required documents
- Statement of interest (include relevant experience and skills)
- Educational certificates and transcripts
- CV
- Complete publication list
- Four reference letters (including one reference from candidate's main PHD supervisor, to be obtained directly by the SC (or the PI, in the absence of the SC)
Competencies and Qualifications
Successful applicants should hold a PhD in Communication or a relevant discipline, or be awaiting conferment of a PhD (the PhD must be awarded by the time the post is taken up). An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree before contracts are issued.
- Academic interest in misinformation study is desirable
- Experience with data science and machine-learning R and Python packages
- Quantitative data analysis using R and/or Python
- Project and people management experience
- High ethical standards in his/her official duties
- Strong verbal and written communication capability
More Information
Location: Kent Ridge
Organization: National University of Singapore
Department : Communications and New Media, FASS
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