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Field
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Details Title Postdoctoral Fellow in Energy System Optimization and Digitization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description
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through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current
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collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) distinguishes itself through research excellence directed towards outcomes of industry relevance, with focus on systems-level
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plays, while also contributing to multidisciplinary research on energy demand growth, infrastructure constraints, and optimal siting strategies for large energy-consuming facilities. The researcher will
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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for separation and performance benchmarking Develop and implement AI-driven optimization workflows (Bayesian optimization, active learning) Analyze membrane selectivity, stability, ion transport, and energy
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-time employment (currently 38.7 hours/ week.). Data-fusion approach for grid-code aware control and optimally allocated fast frequency regulation of Hybrid Power Plants for Marie Skłodowska-Curie Actions