QUT Centre for Robotics

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About
The QUT Centre for Robotics (QCR) conducts world-leading research in intelligent robotics, translating fundamental research into real-world outcomes. Their research areas include physical interaction, perception and localisation, visual learning and understanding, decision and control, and human-robot interaction. They focus on applications in agriculture, health and medicine, environmental monitoring, infrastructure monitoring, defence, manufacturing, mining and construction. The centre also provides education, training, and talent development in robotics and autonomous systems.
Platform
Features
• robotics research
• education and training in robotics and autonomous systems
• human-robot interaction research
• decision and control research
• visual learning and understanding research
• perception and localisation research
• physical interaction research
• autonomous systems research
Job Opportunities
Fully Funded PhD Positions (2x) on Mapping the world: understanding the environment through spatio-temporal implicit representations
QUT Centre for Robotics conducts world-leading research in intelligent robotics and autonomous systems, focusing on various applications and offering educational opportunities.
Experience Requirements:
Applicants should have a strong background in machine learning and robotic vision as well as strong programming skills in Python.
Good teamwork, communication (verbal and written), and a strong intrinsic motivation are essential.
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Postdoctoral Research Fellow in the Visual Learning and Understanding Program
QUT Centre for Robotics conducts world-leading research in intelligent robotics and autonomous systems, focusing on various applications and offering educational opportunities.
Benefits:
Reduced working year scheme
Parental leave provisions
Study support encompassing leave and financial assistance
Comprehensive professional development
Salary Packaging
Education Requirements:
Completion of a doctoral qualification in engineering, computer science, or related discipline.
Experience Requirements:
A well-formulated research agenda and the willingness or demonstrated capability to independently conduct high-quality research.
Demonstrated ability to publish research outcomes in top conferences or journals in robotics, computer vision, or machine learning.
Demonstrated knowledge and expertise in the foundations of robotics, computer vision, machine learning.
Demonstrated proficiency in Python and experience with ROS, deep learning frameworks such as PyTorch, Linux.
Excellent communication skills.
Responsibilities:
Contribute to the research in QCR’s Visual Learning and Understanding Program
Work closely with a team of academics, research fellow, engineers, PhD students and undergraduates
Co-supervise PhD students and undergraduate students
Publish in high-quality conferences and journals in robotics, computer vision, machine learning
Actively participate and contribute to our collaborative culture within the Centre, including visits to Centre partners and joint publications
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Australian Cobotics Centre PhD Scholarship – Cobot contact tasks through multi-sensory deep learning
QUT Centre for Robotics conducts world-leading research in intelligent robotics and autonomous systems, focusing on various applications and offering educational opportunities.
Experience Requirements:
Excellent communication skills
Robotics, computer science, or mechatronics background
Strong background in mathematics
Other Requirements:
Programing in C++, Python or Matlab
Knowledge of Robotics Operating Systems (ROS)
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