jobs in NATIONAL UNIVERSITY OF SINGAPORE

全职 Research Assistant, School of Computing 工作, 薪水 up to SGD 5,000, NATIONAL UNIVERSITY OF SINGAPORE West Region (Singapore) 公司招聘中 - Ricebowl

Research Assistant, School of Computing

West Region (Singapore)

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工作地点

  • 21 LOWER KENT RIDGE ROAD West Region (Singapore) Singapore

职位描述

岗位职责

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 - *************

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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, 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on research projects in data-centric AI and their applications to LLMs. He/she should possess experience or interest in at least one of the following research areas:

  • Data-centric AI, including data valuation, data provenance and watermarking;
  • Inverse problems in machine learning such as machine unlearning;
  • LLM agents and agentic memory systems.

Only shortlisted candidates will be notified.

Job Requirements

  • A Master’s or Bachelor’s degree with Honours in Computer Science or relevant area;
  • Strong technical and communication skills;
  • Ability to work collaboratively in a research team; and
  • Experience in relevant research areas. Publications in top-tier machine learning conferences will be an advantage

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