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Research Fellow, School of Computing

Research Fellow, School of Computing

National University Of Singapore
1-4 Years
SGD 6,000 - 9,000 per month
  • Posted 14 days ago
  • Be among the first 10 applicants

Job Description

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-School-of-Computing/34771-en_GB/

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.

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on data center networking with specific focus on network infrastructure support for AI workload. The position involves the development of a testbed, perform analysis and simulations to validate designs, develop network and communication protocols. He/she should possess experience in one or more of the following research areas and topics:

  • Collective Communication in AI training
  • Systems & Networking
  • Programmable network in the data plane

Job Requirements

  • A PhD degree in Computer Science or relevant area
  • Ability to work in a team and

  • Good oral and written communication skills in English

More Info

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Key Skills

Programmable network in the data plane

data center networking

network and communication protocols

Systems Networking

network infrastructure support for AI workload

analysis and simulations

Collective Communication in AI training

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