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/media-and-information Department Statement The Department of Media and Information brings together faculty from diverse disciplines to advance research in human-computer interaction, human-robot
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crystal growth and structure–property relationship discovery. The successful candidate will join a highly collaborative research environment that integrates robotic experimentation, advanced
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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for experiments, or uncertainty quantification Experience with autonomous, self-driving, or robotic laboratory platforms Background in electronic polymers, conjugated polymers, organic semiconductors, soft
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faculty from diverse disciplines to advance research in human-computer interaction, human-robot interaction, rural computing, game studies and design, and the relationships between technology, policy
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substrates and their innovative use in applications such as robotics, and wearable and interactive systems. Qualifications: The successful candidate having a strong foundation in at least a few of the
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material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and validate the model by comparing the results to experimental observations. 4) Support the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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· Assistive technologies for individuals with visual impairments · AI-driven physical therapy and rehabilitation systems · Human-robot interaction and coordination Responsibilities: Perform
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the