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Field
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simulation and modelling tools such as MATLAB/Simulink, PLECS, PSCAD, or equivalent software. Hands-on experience in power electronics hardware design, prototyping, laboratory implementation, testing, and
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platforms, and associated hardware systems. Perform experimental testing, data acquisition, data analysis, and evaluation of system efficiency, power density, reliability, and dynamic performance. Develop
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control protocols for intrinsically protected quantum hardware. About you Applicants should have a PhD in theoretical physics, quantum physics, or a closely related discipline, together with expertise in
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that make hardware involving cold atoms (The National Quantum Processor Initiative as part of Singapore’s National Quantum Strategy) to reach further than its current capabilities. Develop R&D solutions under
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complex dynamic environments. Robot platform and sensor system hardware and software integration. Algorithms and systems verification and validation. Report writing and presentations. Job Requirements
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to validate system performance under operating conditions. The role includes the development and optimisation of power electronic components and hardware prototypes. The Fellow will work closely with mechanical
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++, Python. Experience with Machine learning technologies (e.g., LLM, and Machine Learning) is an advantage Experience with Hardware, e.g., FPGA acceleration, is an advantage. Excellent communication skills
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on a subset of the participating devices. Aggregate computing provides a unifying foundation for developing these systems, avoiding a centralised server and obtaining deployment on multiple hardware
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then be evaluated using real-time digital simulators for hardware-in-the-loop experiments. Additionally, a Cyberphysical co-simulation environment will be used to assess controller performance under
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algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication