Centre for Robotics and Intelligent Systems
School of Aerospace, Mechanical and Mechatronic Engineering
Faculty of Engineering & Information Technologies
Reference No. 1633/0817
* Become an integral part of one of the leading research centres in Australia
* Three continuous Lecturer and Three fixed term positions located at Camperdown/ Darlington Campus
* Remuneration Package: up to $147k which includes leave loading and up to 17% super
About the opportunity
The University of Sydney’s Centre for Robotics and Intelligent Systems (CRIS) is dedicated to the development, application and dissemination of robotics and intelligent systems in areas of societal importance including transportation, primary industries, healthcare, environment, emergency services, the workplace and at home. The Centre is focused on supporting fundamental and applied research in these areas with a view to exploring future technological developments and understanding the role that this technology will have in our society. This multidisciplinary Centre is bringing together researchers and practitioners within the robotics, automation, science, medicine, business, humanities and arts disciplines. The University of Sydney has had a significant national and international role in research and development of robotics and automation principles, as well as the translation of this research into industry practice.
As part of this initiative, we are currently seeking to fill three continuing and three fixed term academic positions to help grow the impact of our research and development activities and to explore novel areas for the application of robotics and intelligent systems. We are looking for candidates with a strong track record both in fundamental areas of robotics as well as in targeted application domains. Candidates with experience in the following areas are strongly encouraged to apply:
Fundamental Research Themes:
* Perception and Learning: Extracting predictive and actionable knowledge from large volumes of data e.g. deep learning, non-parametric inference, dynamic system identification, sensor fusion, machine vision.
* Control, Decision Making and Interaction: Algorithms for automated decision-making in robotic systems. E.g. motion planning, manipulation, nonlinear control, reinforcement learning, trusted autonomy and safety verification, real-time optimisation.
* Mechanisms, sensors, and actuators: Novel robotic devices and platforms including soft robotics, flexible manipulators, surgical robots, field robots and dynamic walking bipeds. Sensors for robots including stereo & light-field cameras, hyperspectral, millimeter-wave radar, lidar, and touch sensors.
* Large-Scale “Systems of Systems”: methods to enable development of large-scale, geographically distributed robotic teams. E.g. modelling and management of complexity, distributed optimization and control, modelling of information flow, negotiation and cooperation between platforms.
* Human-Robot Interaction: collaboration in teams comprised of humans and robots, shared control, haptics and interaction design, robotic performance art.
* Transport and Logistics: develop and demonstrate the fundamental technologies that will enable the large scale deployment of future transportation, logistics and construction systems including the area of autonomous driving.
* Primary Industries: automation focused on improving operational efficiency and managing the availability of skilled labour, especially in remote environments.
* Environment: developing tools and methods for collecting and managing landscape scale data and facilitating more cost-effective and efficient deployment of multiple, coordinated platforms designed to collect in-situ data that complements information provided by satellite and remote sensing platforms in both terrestrial and marine applications.
* Health and Medicine: Medical robotics including those associated with surgery, obstetrics and neurology, intelligent rehabilitation systems, innovative prosthetics, mobility systems for the elderly and injured and smart sensing and software for optimisation of medical and hospital systems.
* Emergency Services, Disaster Response, and Security: intelligent sensor networks and large-scale data fusion, data analytics and machine learning for autonomous detection, unsupervised identification of targets or events of interest and rapid response systems using robotics and novel devices.
* Home and Workplace: Human-Robot interaction to explore how people can work comfortably in teams with intelligent robotic systems.
Applications should include a research and teaching plan (not to exceed five pages), a detailed resume including a publications list, and the names and addresses of at least two references. The research and teaching plan should include half a page to one page outlining a research program that you will lead and providing a strategic vision for your future research.
Further details, including a candidate information pack and application details can be found here:
For more information about the position, or if you require reasonable adjustment or support filling out this application, please contact Monika Browning, Recruitment Consultant, on +61 2 8627 6562 or [hidden email]<mailto:[hidden email]> .
Specific enquiries can be directed to Professor Stefan B. Williams, Head of School of Aerospace, Mechanical and Mechatronic Engineering at [hidden email]<mailto:[hidden email]>.
Stefan B. Williams
Head of School of Aerospace, Mechanical and Mechatronic Engineering
University of Sydney
Sydney, NSW, 2006
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