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optimize machine learning (ML) and AI-driven climate risk models for the ClimateIQ project. This position will refine ML approaches to provide high resolution climate hazard information and improve decision
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to the laboratory state of the art optimization library. They will also be responsible for providing support for undergraduate robotics classes, office hours, and laboratory supervision. The successful candidate will
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. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical experiments. CENTMED offers multidisciplinary
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post