Research Fellow In Autonomous Systems

at University of Melbourne

School of Electrical, Mechanical and Infrastructure Engineering Melbourne School of Engineering

Salary: $69,148 - $93,830 p.a. plus 9.5% superannuation

About University of Melbourne The University of Melbourne is consistently ranked among the leading universities in the world, holding the number 1 spot in Australia and number 32 in the world (Times Higher Education World University Rankings 2017-2018). We are globally engaged, comprehensive, research-intensive and committed to respond to the major social, economic and environmental challenges of our time and we're empowered to build a better world for us all to live in.

About Melbourne School of Engineering At MSE, what seems simple on the outside is incredibly complex on the inside. Our journey starts with our students and our student numbers have rapidly grown as we embark on our transformational strategy, the MSE 2025. Our ten-year strategy, MSE 2025, is our School's commitment to bring to life the University-wide strategy Growing Esteem and reinforce the University of Melbourne's position as one of the best in the world.

Investment in new infrastructure, strengthening industry engagement and growing the size and diversity of our staff and student base to drive innovation and develop the transformative technologies of the future are all fundamental principles underpinning MSE 2025.

The Opportunity As a Research Fellow in the Department of Electrical Engineering, you will develop and implement novel algorithms in one or more areas pertaining to multiple vehicle coordination, human-robot teaming, decentralised optimisation and control, collaborative systems, and/or exploration of uncertain environments.

What you'll need: The ideal candidate will have a great attitude, enjoy working in a collaborative team and will be someone who thrives in an environment where we are committed to working with industry leaders to respond to the challenges they face.

  • A PhD in Engineering, Computer Science or Applied Mathematics
  • Expert knowledge in the theory of system modelling and control
  • Prior experience in the application of autonomous systems for real time decision making scenarios
  • Track record of quality research as evidence in publications in leading conferences and journals
  • Outstanding ability in analysing data, problem solving and maintaining accurate data
  • Experienced in analysing data and maintaining accurate research

If you're curious, motivated and ready to leap into a career at a world leading university, we're ready to open our doors to you.

How to Apply

Your application should include a cover letter, document addressing selection criteria and resume.

While we take a look at your application, get to know us more by visiting our social media channels and website

Close date: 1 July 2018

Position Description and Selection Criteria

Download File 0045812.pdf

For information to assist you with compiling short statements to answer the selection criteria, please go to

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