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and project teams to translate theoretical advances into practical, scalable computing systems. Job Requirements: PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing
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research, education, and services in data science, AI, and biomedical computation. We invite applications for a Research Asisstant (Cloud Infrastructure Engineer) role in CBDS. The successful candidate will
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interfaces and dashboards within cloud computing environments. To develop and deploy AI-driven modules across cloud and on-premises environments, supporting end-to-end integration, testing, and delivery
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our AI agents and data-driven workflows — from API integration to cloud architecture and data lake management. We’re building our Enterprise Intelligence Hub and creating AI agents that automate
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IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use
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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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18 Apr 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile First Stage Researcher (R1
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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Familiarity with ESG (Environmental, Social and Governance) regulations and standards Good written and oral communication skills Proficiency in Python and cloud computing Team player and able to develop
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Description To design, build, and maintain hybrid scientific data platforms, focusing on backend systems that support both cloud-based and on-premise infrastructures. The role enables secure, human-centred