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requires good theoretical and hands-on expertise. Perfectly suited for those at the intersection of theory and application. Develop customized ILC and parameter optimization algorithms for industrial
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Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn
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Postdoc in physics-based numerical modeling, software development, and engineering analysis of engineered energy and fluid systems, ranging from geothermal power plants to fluid (e.g., water, brine, CO2, H2
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, two-year postdoc positions in this next round. The goal is to advance computational methods and AI/XR for Architecture, Engineering & Construction (AEC) and urban/landscape planning - bridging research