Research Associate, AI & Data Systems Lab (CS/CE)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

NTU Singapore, a leading research-intensive university, invites applications for a lab-focused role within CCDS. The successful candidate will maintain experiment tracking, organize research data, and manage code repositories while supporting GPU servers and demonstrations for internal reviews and external collaborators.

Candidates should hold a Master’s degree in Computer Science, Computer Engineering, or related field and possess solid Python skills, Linux and Git proficiency, and experience

Qualifications

• Master’s degree in Computer Science, Computer Engineering, or related field.
• Solid Python skills; able to read and modify model training code.
• Hands-on experience with experiment tracking tools.
• Proficient in Linux and Git.
• Experienced in using AI coding agents such as Claude Code or Codex.
• Able to build web demos and websites.
• Independent and organized, and works well in a team.
• Excellent verbal and written communication skills.
• Willing to work some flexible hours.

Responsibilities

• Set up and maintain experiment tracking and visualization.
• Organize and manage the lab's research data.
• Manage the lab's code repositories and internal knowledge base.
• Maintain the lab's GPU servers.
• Build and maintain demos of the lab's research work for internal reviews, collaborators and visitors.
• Build and maintain the lab website, and run the lab's social media channels such as YouTube, X, Bilibili and RedNote to share the team's work.

Skills

Python

Experiment tracking

Linux

Git

Web demos

Communication

Education

Master’s degree in Computer Science/Computer Engineering or related field

Tools

Claude Code / Codex

Job description

NTU Singapore, a leading research-intensive university, invites applications for a lab-focused role within CCDS. The successful candidate will maintain experiment tracking, organize research data, and manage code repositories while supporting GPU servers and demonstrations for internal reviews and external collaborators.

Candidates should hold a Master’s degree in Computer Science, Computer Engineering, or related field and possess solid Python skills, Linux and Git proficiency, and experience