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Postdoctoral Fellow in Machine Learning and Robotics

University of Technology, Sydney (UTS)


Location:
Sydney, New South Wales 2007
Date:
11/08/2017
2017-11-082017-12-08
Job Code:
IRC101006
Job Type:
Employee, Contract
Job Status:
Full Time
Categories:
  • Robotics
  • Electronics Engineer
  • Design/Development Engineering
  • Research
  • Power Engineering
University of Technology, Sydney (UTS)
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Job Details

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.

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 in 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.

Responsibilities

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

Remuneration

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 - click on the apply link to be taken to the relevant page.

You are required to address the selection criteria in your submission in a separate document.

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 Dikai.Liu@uts.edu.au

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

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

Please note: We are only accepting on-line applications for this post, however, if you have a disability that makes it difficult for you to provide us with information in this way, please contact the Recruitment Team for assistance.

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.