44 combinatorial-optimization Fellowship positions at Nanyang Technological University
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inspection system that are fabricated by robots and multimodal sensors. Development of analytic models, simulation, and optimization for the quality inspection systems. Development of a predictive model for
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Title: Mechanistic Investigation on Electric-Bias-Optimized Plasma Catalysis for H2O-CO2 Conversion Project Introduction: Plasma catalysis is emerging as a promising alternative for carbon-dioxide
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, automated optimization, and adaptive co-simulation and testing workflows for QKD systems and protocols. Translate research insights into tools, methodologies, and frameworks for quantum security testing and
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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technologies. Key Responsibilities: Design and manufacture bio-inspired soft robotic system with optimal structure. Design and develop variable stiffness mechanism on the developed robotic systems. Develop shape
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of design rules for 3D printed parts that are fabricated by various additive manufacturing (AM) and hybrid manufacturing processes. Development of analytic models, simulation, and optimization for the AM
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optimization for the AM processes and design automation for AM process. Development of a predictive model for AM and hybrid manufacturing processes using Digital Twins Development of 3D printing technology
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will be responsible for developing innovative solutions in the encapsulation of active agents such as prebiotics and probiotics in fish feeds for juvenile fish, to help optimize nutrition, immunity
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responsible for developing innovative solutions in the encapsulation of active agents such as nutraceuticals, novel immunostimulants etc in fish feeds for broodstocks in order to optimize egg and larval quality
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: Perform high-fidelity thermal and mechanical numerical simulations for metal additive manufacturing. Develop and implement PIML models for analysis and optimization of metal additive manufacturing