46 combinatorial-optimization Fellowship research jobs at Nanyang Technological University
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distribution network optimization and flexibility planning using distributed energy resources. The successful candidate will develop and implement a flexibility planning tool for electrical distribution grids
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of the School of Electrical and Electronic Engineering in the areas of control and optimization, sensing and information processing, machine learning, cyber physical systems, robotics and automation, power
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: The research fellow will Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge
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discipline. Demonstrated expertise in algebraic and/or combinatorial coding theory. Proven track record of scientific research productivity. Ability to work effectively in an international research environment
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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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technologies. Design and optimize EUV technologies based on free electron-driven materials Lead papers and publish in high-impact journals Present at top-tier international conferences Assist PI in writing
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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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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
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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