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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental excitonic effects Record, manage, and store collected data in
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope Design and conduct any downstream, secondary assays for hit validation and lead optimization. Work with
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Associate) PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow). The candidates who have submitted the thesis are also encouraged to apply. Background in the application
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hardware technologies. Conduct hardware performance evaluations (e.g. area, power, efficiency). Develop software strategies for communication-aware task scheduling and runtime optimization. Explore low-power
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research in the area of robust optimization and bounded rationality. • Assist in supervising research and undergraduate students. • Assist in teaching related modules. Job Requirements • A PhD
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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system modeling and simulation. Research experience with power system operation and optimization. Excellent
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electrolyte and polyanion or oxide-based cathode materials. Project aims to optimize synthesis conditions for scale-up production of solid electrolytes (ceramic and polymer electrolytes) and positive/negative