116 physics-engineer-"https:"-"https:" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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-world challenges. In the process, research engineers gain valuable applied research capabilities aligned with evolving industry needs. Key Responsibilities: Applied Research & Development Conduct reviews
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closely with faculty, professional officers and industry partners to execute commercially viable solutions that address real-world challenges. In the process, research engineers gain valuable applied
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and impactful industry experience in Chemical Process Technology. Deep technical specialist with 10 or more years of working experience in unit operations (e.g. Heat Exchanger, Distillation Column
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, experimental prototyping and testing. Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent. Key Competencies Good knowledge in system modeling
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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 Knowledge of physical
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-world challenges. In the process, research engineers gain valuable applied research capabilities aligned with evolving industry needs. Key Responsibilities: Applied Research & Development Develop tools
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., babylon.js, A-Frame, etc.). Experience in developing XR app for teaching & learning/training. Experience developing optimized modules within Unity and/or Unreal Engine Experience with database management
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Posting Start Date: 16/04/2026 Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our
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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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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