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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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interpretation of experimental results. Maintain detailed laboratory records and ensure quality control in all experiments. System Integration & Prototyping: 20% Integrate energy harvesters with wireless sensor
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and control. Experience with physics-informed methods. Practical experience with networking, communication protocols, and virtualization. Preferred Knowledge, Skills, and Abilities Experience in