Lecturer / Senior Lecturer in Robotics and Intelligent Systems

Sydney, Australia
29 Sep 2017
End of advertisement period
05 Nov 2017
Contract Type
Full Time

Centre for Robotics and Intelligent Systems
School of Aerospace, Mechanical and Mechatronic Engineering
Faculty of Engineering & Information Technologies

  • Become an integral part of one of the leading research centres in Australia
  • Three continuous Lecturer positions located at Camperdown/ Darlington Campus
  • Full Time, Continuous, Remuneration Package: up to $147k which includes leaving 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 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.

Application Areas:

  • 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.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Associate with:

  • a PhD (or equivalent)
  • demonstrated technical expertise in areas of robotics and intelligent systems related to the key research and application themes of the Centre
  • evidence of capacity to work as part of a multidisciplinary team
  • a track record or demonstrated potential for securing external funding and performing high-quality, independent and collaborative research
  • a track record of publication in leading international peer reviewed journals, with a commensurate citation impact
  • experience in supervising undergraduate and postgraduate research students and/or demonstrated capacity to work as part of a research team
  • potential for industry interaction and liaison.

The positions are full-time continuing.  Membership of a University approved superannuation scheme is a condition of appointment.

About us

Since our inception 160 years ago, the University of Sydney has led the research and teaching to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 7600 academic and non-academic staff who support over 60,000 students.

We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.
For more information on the position and University, please view the candidate information pack available from the job’s listing on the University of Sydney careers website.

To be considered for this position it is essential that you address the online selection criteria and include your Scopus ID.

All applications must be submitted via the University of Sydney careers website.  Visit sydney.edu.au/recruitment and search by the reference number to apply.

Closing date: 11.30pm 05 November 2017 (Sydney time)

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

© The University of Sydney

The University reserves the right not to proceed with any appointment.

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