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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
Web
Keywords
researchairoboticsautonomous systemsqut
Task
robotics research

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

QUT Centre for Robotics favicon
QUT Centre for Robotics

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.

scienceonsiteother

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.

scienceonsiteBrisbane, AU
$104,290 AUD - $123,858 AUD
full-time

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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