Postdoctoral Fellow in Machine Learning

Sydney, Australia
09 Nov 2017
End of advertisement period
07 Dec 2017
Contract Type
Fixed Term
Full Time

Job Summary

UTS has a bold vision to be a world-leading university of technology. We are a dynamic and innovative university in central Sydney, consistently ranked the top young university in Australia. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow.

An opportunity for early career researchers to join the UTS Centre for Autonomous Systems (CAS), an internationally acclaimed robotics research group, and to work together with robotics researchers at UTS. CAS has strong links with researchers in AI at the University of New South Wales and UTS. The Postdoctoral Fellow is expected to contribute to strengthen this relationship.

Detailed Description

The UTS Centre for Autonomous Systems (CAS) within the School of Mechanical and Mechatronic Engineering (MME) is an internationally acclaimed robotics research group. CAS’ vision is to be an internationally recognised leader, at a scale and quality to be globally significant, for robotics research, development and commercial application of “Autonomous and Human Interactive Robotics”. Since its establishment in 2003, CAS has demonstrated international leadership in driving research advancements in robotics and in delivering real-world solutions to key challenges facing government, industry and the wider community. Examples include the autonomous robots for bridge maintenance and the autonomous bio-inspired climbing robots, both deployed in the Sydney Harbour Bridge.

CAS currently has over 75 robotics researchers with international reputation in SLAM, Infrastructure Robotics, Assistive Robotics and Robot teams. CAS has developed a very strong engagement program with industry and governments. CAS prides itself on a culture of cooperation, collaboration and “ownership”.

CAS seeks to appoint a Postdoctoral Fellow with expertise in machine learning, robotics, or related fields; and experience in developing intelligent robotic systems for industry applications, to further strengthen and expand CAS research. As a member of CAS and FEIT, you will be accountable for achieving UTS vision of becoming a leading international technology university.


The Postdoctoral Fellow will contribute to research within the Centre for Autonomous Systems in the UTS Faculty of Engineering & IT:

  • Conduct excellent and high impact research in the fields of machine learning, robotics, or the related fields
  • Develop collaborative research internally with colleagues within UTS, and externally with researchers in other universities and industry partners
  • Co-supervise research students
  • Contribute as a team-player to the activities of the Centre
  • Assist project Chief Investigators (Cis) to manage research projects


Salary Range: $99,924 to $114,343 pa (Level B)

This role attracts 17% superannuation in addition to the base salary.

This appointment will be on a 2 year fixed term basis.

Our commitment to work/life support includes benefits such as flexible work practices, child care centres, generous parental leave and support to carers.

Whilst as Australia’s premier city, Sydney is consistently ranked in the top 10 cities worldwide for quality-of-living

How to Apply

Prior to commencing your application for IRC101006, please review the Position Statement and the relevant selection criteria. You are required to address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Answering Selection Criteria

Please note that only those applications submitted via the UTS online recruitment system will be accepted.  Current UTS employees should apply through their UTS Employee Self Service function.

As you will be unable to save your application once started, please have all required documents and information available prior to commencing.

Please ensure that the file name for each uploaded document includes IRC101006.

Specific enquiries may be directed to Professor Dikai Liu at

Specific enquiries or issues with your application may be directed to the UTS Recruitment Team on or +61 (02) 9514 1080.

Closing Date:  Thursday 7th December 2017 at 11.59pm (AEST)

UTS is widely acknowledged as a leader in promoting gender equity and social justice. Cited as a WGEA Employer of Choice since the inception of the award, UTS is a current participant in the SAGE pilot program, the Australian trial of the Athena Swan gender equity accreditation program. We welcome applications from women, particularly for senior and non-traditional roles.