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The Hong Kong University of Science and Technology PhD in Robotics and Autonomous Systems
The Hong Kong University of Science and Technology

PhD in Robotics and Autonomous Systems

Hong Kong, Hong Kong

3 up to 4 Years

English

Full time

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On-Campus

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Key Summary

    About: The PhD in Robotics and Autonomous Systems focuses on developing advanced robotics technologies and solutions. The program integrates theoretical knowledge with practical skills, preparing students to address real-world challenges in automation, machine learning, and human-robot interaction. Students will conduct original research and contribute to the growing field of robotics.
    Career Outcomes: Graduates can pursue careers in various sectors, including robotics engineering, research and development, academic positions, and roles within tech companies focusing on autonomous systems. Opportunities also exist in industries such as healthcare, manufacturing, and automotive.

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Introduction

Robotics is a transdisciplinary branch of engineering and science that deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. An autonomous system is a system that performs tasks with a high degree of autonomy (without external influence). Designing and managing Robotics and Autonomous Systems requires diverse skills from various engineering disciplines such as electronics, mechatronics, control, and signal processing together with state-of-the-art computer science such as software architecture, algorithms, and data structures or artificial intelligence.

The Doctor of Philosophy (Ph.D.) Program in Robotics and Autonomous Systems aims to provide well-rounded education as well as rigorous research training to prepare students to become versatile and knowledgeable professionals, with the broad fields of robotics engineering as a major focus, together with connections to theoretical and applied mechanics, optimization, communication, information theory, machine learning, computing, mathematics, and signal processing.

Ph.D. graduates should be capable of conducting high-quality original research, creating new knowledge, deriving valuable insights, and making tangible impacts on academia and the field.

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