Research Fellow at AI Singapore, AI Governance, Opportunity at NATIONAL UNIVERSITY OF SINGAPORE, Singapore.

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  • Post Date: June 27, 2022
  • Applications 0
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Job Overview

Research Fellow at AI Singapore, AI Governance

Singapore's national AI strategy

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI) thereby creating social and economic impacts, grow the local talent, build an AI ecosystem, and put Singapore on the world map. 

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore’s AI efforts.

AI Singapore (AISG) is offering a Postdoctoral Fellowship to work in its new AI Governance pillar. Candidates building a career in the area of AI Governance (broadly understood) are encouraged to apply.

Successful applicants will become Fellows of AISG, with the possibility of affiliation with another Faculty of NUS and will commence their Fellowships in February 2022 (or an agreed date thereafter) and conclude them in February 2023.

 

Qualifications

The applicant must be of exceptional calibre, having attained a doctoral degree in a relevant areas of research, which must have been successfully completed and examined during the period 1 January 2019 to 31 Dec 2021. Applicants who have not been awarded the doctoral degree by the date of application but who intend to submit their doctoral thesis for examination are welcome to apply, but in these circumstances written assurance is required from the applicant’s supervisor (and endorsed by the awarding institution) that there is reasonable expectation that the doctoral degree will be awarded. Applicant must hold a doctoral degree by the time of appointment.

The principal selection criterion will be the applicant’s potential for excellence in research and the proposed programme of research of the applicant. An existing record of publication or participation in research projects are examples of evidence of such potential.

 

 

 

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Job Detail
  • Offered SalaryNot Specified
  • Career LevelNot Specified
  • ExperienceNot Specified
  • GenderBoth
  • INDUSTRYEducation
  • QualificationDoctorate Degree (Ph.D.)
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