14 knowledge-optimization Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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materials for new products, and optimizing manufacturing processes Responsibilities R&D: Lead material selection, development, and characterization for applications in electronics, aerospace, or biomedical
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structures at the atomic level, conducting failure analysis, selecting materials for new products, and optimizing manufacturing processes Responsibilities R&D: Lead material selection, development, and
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reduction technologies. Explore emerging technologies, frameworks, and practices to advance product solutions in industries. Conduct product family Innovation Quadrant (IQ) analysis and resource optimization
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systems, power converters, and propulsion drives. Knowledge of control systems, optimization techniques, and stability analysis is highly preferred. Familiarity with marine electrical systems or isolated
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to the design, modelling, simulation, validation, and optimization of electric vessel power systems, with strong emphasis on battery-based propulsion, onboard microgrids, EMS algorithms, and real-time validation
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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optimized modules in C#/C++ within Unity and/or Unreal Engine. For game engine software engineer: Strong knowledge in C++ and/or Javascript for 3D/VR applications (e.g., babylon.js, A-Frame, etc.) will be
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and