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Research Fellow (Computer Science)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore

On-site

SGD 60,000 - 80,000

Full time

29 days ago

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Job summary

A leading university in Singapore is seeking a Research Fellow for the Department of Computer Science. The successful candidate will work on the mathematical theory of sequential decision-making, especially bandit algorithms. A Ph.D. in Computer Science or related field is required, along with strong research skills and problem-solving ability. Join a team committed to research excellence and innovative solutions.

Qualifications

  • Ph.D. is required.
  • Knowledge of bandit algorithms is strongly preferred.
  • Strong self-motivated and problem-solving ability.

Responsibilities

  • Work on mathematical theory of sequential decision-making.
  • Focus on bandit algorithms and their regret analysis.

Skills

Knowledge of bandit algorithms
Excellent research skills
Data analysis
Scientific writing
Problem-solving ability

Education

Ph.D. in Computer Science, Applied Mathematics, or a related area
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

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Responsibilities
The selected candidate will work on the mathematical theory of sequential decision-making, with a likely emphasis on bandit algorithms and their regret analysis, in collabration with Principal Investigator and other group members.

Only shortlisted applicants will be notified.

Job Requirements
  • Ph.D. in Computer Science, Applied Mathematics, or a related area is required.
  • Knowledge of bandit algorithms is strongly preferred.
  • Excellent research skills, including data analysis, interpretation, and scientific writing.
  • Strong self-motivated and problem-solving ability, with the capacity to conduct high-quality research independently.
  • Demonstrated innovation, teamwork, and a strong passion for research.
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