Research Fellow in Robotics

Sydney, Australia
16 May 2018
End of advertisement period
17 Jun 2018
Contract Type
Fixed Term
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
  • Two Full-time Fixed term for 2 Years, Research fellowship positions located at Camperdown/ Darlington Campus
  • Academic Level B, Base Salary: $102,013 p.a. Plus leave loading and a generous employer’s contribution to superannuation. Visa sponsorship is available if required.

About the opportunity 

The University of Sydney’s Centre for Robotics and Intelligent Systems (CRIS) is dedicated to fundamental research in robotics, as well as 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. This multidisciplinary Centre is bringing together researchers and practitioners within the robotics, automation, science, medicine, business, humanities and arts disciplines. The Centre is led by the Australian Centre for Field Robotics (ACFR), which 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 two fixed term research fellow roles to spearhead new directions in robotics research, and enhance the impact of our research. 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 optimization.
  • 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 visual, hyperspectral, 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, 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:

  • Health and Medicine: Surgical robotics, intelligent rehabilitation systems, active prosthetics and orthotics, mobility systems for the elderly and injured and smart sensing and software for optimisation of medical and hospital systems.
  • 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.
  • Environment: developing of robotic systems and methods for collecting and managing large amounts of data for environmental monitoring, including efficient deployment of multiple, coordinated robot.
  • Emergency Services, Disaster Response, and Security: intelligent sensor networks and mobile sensor systems, motion planning, task allocation and perception systems for autonomous detection and intervention in natural disasters such as bushfires.
  • Home and Workplace: Human-Robot interaction to explore how human-robot teams can develop fruitful, trusting, and productive interactions.

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 Fellows 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 Research Fellow positions will be for a period of two and half years, with further employment available subject to funding availability. 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 Australias 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.

All applications must be submitted via the University of Sydney careers website.  Visit and search by the reference number 845/0518F  to apply.

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

Closing date: 11.30pm 17June (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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