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and dynamic models. Development of optimization algorithms for the unique operational characteristics of the onshore microgrids. Development energy management system including frontend and backend. Job
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the research for the project on robot human teaming. Key Responsibilities: The Research Fellow will work on a project to conduct research for human robotic teaming, in particular: Perform optimization
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, combining data from various sensors such as LiDAR, cameras, IMUs, and wheel encoders. Implement and optimize path and motion planning algorithms, including obstacle avoidance and trajectory generation. Work
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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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Optimization models. Strong programming skills in Python. Good English writing and communication skills for research work. Independent and team player. We regret to inform that only shortlisted candidates will
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learning-driven approaches for material design, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced
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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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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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. Develop and implement OFDMA systems with optimized bit- and power-loading for high-rate data communication. Explore spread-spectrum communication techniques with state-of-the-art codes for secure C&C
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Geospatial Laboratory. This pivotal role ensures seamless functionality, safety compliance, resource optimization, and fosters innovation through modernizing workflows and process enhancements. Collaborating