Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hotbed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We invite suitable candidates to apply for the Assistant Manager / Senior Executive, Laboratory Operations.

Responsibilities:

• Support the operations, infrastructure and technical environments of CCDS Graduate Research Laboratories and centralised research computing facilities, including GPU, server and specialised research equipment.
• Ensure the operational readiness, reliability and effective functioning of laboratory and research computing infrastructure, including the configuration, deployment, maintenance and troubleshooting of workstations, servers and GPU-enabled systems.
• Coordinate procurement, vendor management and asset lifecycle activities, ensuring research infrastructure and equipment are appropriately maintained and available to meet faculty, researcher and student needs.
• Administer laboratory access, safety, compliance and audit requirements, ensuring that research environments operate in accordance with relevant policies and standards.
• Work with faculty, researchers, students and other stakeholders to coordinate infrastructure requirements and continuously improve the efficiency and effectiveness of research laboratory and computing operations.
• Leverage Generative AI and AI-enabled tools, where appropriate, to enhance information analysis, technical documentation, workflow automation, troubleshooting and operational productivity

Requirements:

• Bachelor’s Degree or Diploma in Information Technology, Computer Science, Computing, Data Science, Artificial Intelligence, Engineering, or a related discipline.
• Relevant professional certification(s) in Artificial Intelligence (AI), Generative AI, Machine Learning, Data Analytics, Cloud Computing, IT Infrastructure, or related technologies would be advantageous.
• Experience in technical support, infrastructure administration, laboratory operations, or research computing environments.
• Linux knowledge is required; scripting or programming knowledge such as Python, Bash, or PowerShell is advantageous.
• Experience with servers, GPU systems, workstations, virtualization, cloud platforms, scientific computing, or AI/ML research infrastructure is advantageous.
• Good working knowledge of Generative AI and modern AI productivity tools, with the ability to apply them effectively to technical, operational, analytical, and administrative work.
• Strong organisational, troubleshooting, analytical, communication, and stakeholder management skills.
• Able to work independently and collaboratively in a dynamic research and technology-driven environment.
• Proactive and adaptable, with a willingness to continuously learn and adopt emerging AI and computing technologies.

 We regret that only shortlisted candidates will be notified.