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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a highly
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must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and
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planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kyriakopoulos seeks
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, Autonomous Robots, Embedded systems development, Collaborative and adversarial control, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics
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involve both theoretical analysis and empirical validation on real-world robotic platforms. Qualifications: Applicants must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering
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candidates with one or more of the following experiences: Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior
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of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches
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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