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Field
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, and machine learning, the program prepares graduates to drive progress in fields like renewable energy, 5G, cyber-physical systems, and smart infrastructure. University Information The University
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of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech
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) seeks a postdoctoral researcher in the application of Data and Knowledge Science to smart and sustainable civil and industrial infrastructures and cyber-physical systems. Areas of particular interest
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five main areas: advanced materials and manufacturing, deep underground science and engineering, critical and sustainable resources, smart and resilient cyber-infrastructure, and data science and
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. Proficiency in frameworks like Pyomo and/or TensorFlow/Pytorch/Keras Solid foundation in mathematics/statistics, with experience in cyber-physical systems modeling. Ability to work both independently and
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need: Doctoral degree What is helpful: Doctoral degree in materials science, chemistry, electrical engineering, computer engineering, mechanical engineering, chemical engineering, physics, chemistry, or
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(https://www.uta.edu/engineering ). Active research areas include semiconductors and photonics, power electronics; renewable energy and energy storage, electric propulsion; power systems, cyber-physical
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
-robot-teams, haptic assistance, cyber-physical systems, and infrastructure systems. While our core competence is control engineering, we have some interdisciplinary collaborations with the fields