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of the eight Fulton Schools, houses a vibrant and dynamic engineering research community in robotics and autonomous systems (learn more at http://robotics.asu.edu and http://ras.engineering.asu.edu ). We seek
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation. Candidates having
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robotics, bio-inspired robotics, wearable devices and robotics, soft robotics, autonomous vehicles, aerial robotics. They will also be responsible for delivering quality teaching in relevant subjects at both
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robotics, embodied AI, or autonomous systems is an advantage. Strong publication record or clear potential to publish in leading international venues. Ability to work independently, manage complex research
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expected to conduct frontier research within the following areas: robotic intelligence, humanoid robotics, surgical robotics, bio-inspired robotics, wearable devices and robotics, soft robotics, autonomous
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such as PyTorch or TensorFlow. Familiarity with deployment constraints on cloud, edge, or embedded systems. Experience in robotics, embodied AI, or autonomous systems is an advantage. Strong publication
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intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Senior Research Engineer will play a key role in bridging
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of experimental design. Identify high-impact research lines. Provide mentoring to researchers in training. Advice on personalized robotic technology. Where to apply Website https://seuelectronica.upc.edu/en
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to the subject area. Doctoral degree should be within robotics, computer science, electrical engineering, physics, or a related field. Additional requirements are: Experience in industrial robotics, autonomous systems
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project progress and workshop new ideas. Deliver results in the form of a publishable research article. Contribute to the development of a robust autonomous multi-robot mapping and planning stack