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Research Associate, AI (School of Computing)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore

On-site

SGD 60,000 - 85,000

Full time

Today
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Job summary

A prestigious university in Singapore is seeking a research associate specializing in AI, finance/economics. The role involves research, mentoring student projects, and drafting research proposals. Candidates must have a Master's degree and relevant experience. This is a full-time position located in Singapore.

Qualifications

  • Completed all requirements for a Master's degree.
  • Two or more years of working experience in relevant fields.
  • Strong background relevant to the project preferred.

Responsibilities

  • Research in AI for finance/economics and helping to develop software platforms.
  • Mentoring FYP and Master's capstone/thesis projects in the same area.
  • Help draft proposals for research and translational grants.

Skills

Expertise in AI
Finance/Economics knowledge
Translational research experience

Education

Master's degree
Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a research associate with expertise in AI, finance/economics, as well as translational research towards broader impact. The position aims to develop new mechanisms of AI in finance/economics applications. Applicants are expected to have a strong background in one of the topics mentioned above. This full-time position is based in Singapore

Responsibilities
  • Research in AI for finance/economics and helping to develop software platforms to help collaborators in these specific domains.
  • Mentoring FYP and Master's capstone/thesis projects in the same area.
  • Helping to draft proposals for research and translational grants.
Qualifications
  • Completed all requirements for a Master's degree and have two or more years of working experience in relevant fields.
  • Candidates with a strong background relevant to the project preferred

Only shortlisted candidates will be notified.

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