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Field
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of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence
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well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios
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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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Specific Required Qualifications: PhD in Mechanical Engineering/ Optical Engineering / Applied Optics/ Solar Energy Engineering/ Renewable Energy Systems/ Applied Physics/ Thermal Engineering / Thermofluids
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Wissenschaftliches Personal The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty
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areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles
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to other organoid and tissue models Your Profile: PhD in electrical engineering, automation, robotics, computer science, or a related field, with evidence of innovative and impactful research Demonstrated
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, the project relies on a multidisciplinary methodology, gathering knowledge in human perception, haptics, virtual reality mechanics and 3D interactions. PHD Topic Within the context of ADVHANDTURE, the goal
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with robotics researchers and interdisciplinary team members Maintain detailed experimental records and ensure reproducible research practices Required Qualifications A PhD degree in Neuroscience
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, operating systems and security. Job Description The successful candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement