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) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5, Franka Emika
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experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Human-AI interaction, human-computer interaction and human factors Reinforcement learning and
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sequence and coordination with related active building systems.The integration of the building envelope system and related systems will be actively reinforced through practical applications coordinated with
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Oversight. For more information, please visit us at https://marcomm.tamu.edu/ What We Want The Brand Experiences Manager contributes to the development and execution of Texas A&M University’s brand
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About the role This project is part of the Centre for People-Led Net-Zero research (https://www.people-led.org.uk/netzero ) at the University of Bath, and in particular the Heritage Buildings work
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communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning
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art, and above all, approaches the work with curiosity and a willingness to learn by doing. They should exhibit strong critical thinking skills to manage daily project needs and possess a solutions
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” and translates them into a coordinated set of actions across the site’s physical assets. The models close the loop and tune themselves online using both classical control, AI, and reinforcement learning
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engaging brand presence. Career Readiness Competencies: Set personal goals and track progress toward them. Take initiative to learn new tools, systems, or procedures on the job. Actively listen and respond
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Engineering, Electrical and Electronic Engineering, Computer Science, Artificial Intelligence, or a closely related discipline. Strong research background in multi-agent reinforcement learning, multi-robot