168 requirements-engineering-"https:"-"https:"-"https:"-"IFM" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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and maintain proper documentation of activities Job Requirements: Bachelor’s degree with 5+ year experience OR Master’s degree with 2+ year experience in Environmental Science, Environmental Engineering
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and maintain proper documentation of activities Job Requirements: Bachelor’s degree with 5+ year experience OR Master’s degree with 2+ year experience in Mechanical Engineering, Building Services
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well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Have relevant competence in the areas of sensing, system modeling, simulation testing for both hardware and software
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tunnelling. Prior experience in basic soil characterization and knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
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Job Purpose: The Research Engineer will support applied research and innovation in environmental sustainability, working with internal teams and industry partners to develop practical solutions
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We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting
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to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems
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the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms