First listed on: 10 October 2017

CSIRO Postdoctoral Fellow in Modelling and Control of Legged Robots

  • Make a difference and work on developing autonomous legged systems
  • Do you have an interest in applied robotics & autonomous systems?
  • Join CSIRO and kick-start your research career!

The Position

CSIRO offers PhD graduates an opportunity to launch their scientific careers through our Postdoctoral Fellowships. These fellowships provide experience that will enhance career prospects and facilitate the development of potential leaders for CSIRO.

Owing to the terms of the fellowship, candidates must not have more than 3 years of relevant full time postdoctoral experience.

The CSIRO Robotics Research Group is seeking a highly talented and dedicated recent (or very soon to be) PhD graduate with significant experience in modelling and control of highly dynamical systems and particularly of legged robots.

In this role you will work on new research projects in the area of Legged Robotics with substantial dynamics, with the objective of developing autonomous legged systems that are capable of traversing complex and challenging indoor and outdoor 3D environments. You will focus on developing novel modelling, estimation, planning and control approaches for multi-legged/multi-limbed robots characterized by many degrees of freedom (DOFs), complex multibody dynamics, deformable structures, and uncertainties in sensing and actuation.

Your duties/responsibilities will include:

  • Conduct cutting-edge research in the area of multi-legged/multi-limbed robots characterized by many degrees of freedom (DOFs), complex multibody dynamics, and uncertainties in sensing and actuation.
  • Develop, implement and test novel modelling, estimation, planning and control approaches for multi-legged/multi-limbed robots.
  • Implement the methodologies developed on robotic platforms and evaluate them through extensive indoor and outdoor field trials. 

Location: Pullenvale QLD
Salary: AU$80K - $91K plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 49224

To be successful you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as robotics, mechatronics, electrical or mechanical engineering, computer science or engineering, applied physics, etc.  
  • Strong demonstrated theoretical and applied experience in two or more of the following key research areas: optimal control; modelling, estimation, planning and control of systems with significant dynamics and multiple DOFs; multi-body dynamics; robust and stochastic control; multi-legged and/or multi-limbed robot control.
  • Demonstrated experience in developing and applying advanced estimation, planning, decision and control methods in real robot systems.
  • Significant knowledge and experience in developing software systems for robotic platforms.

Before you apply please view the full position description and selection criteria here:  Position Details Document

Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)

CSIRO’s Data61 business unit is the largest data innovation group in Australia, bringing together approximately 600 research and development staff working in digital technologies to create benefit for Australia. Data61 develops Australia's future leaders with its strong 300+ PhD student program in collaboration with our best universities across Australia.

Find out more!  CSIRO Balance

Our Commitment to you:
We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. We emphasise an individual’s growth and development which is supported by interacting and learning from world leading scientists and engineers, who provide the opportunity to challenge, transform and innovate new ideas. CSIRO’s Data61 is committed to sourcing the brightest and best talent to become part of the Data61 family, and contribute to creating Australia’s data driven future.

How to Apply:  If you wish to apply for this position, please load your CV (Maximum 2MB) via our website at You may also be required to respond to some screening questions.  Where text responses are required, to avoid being timed out of the system we recommend that you prepare your responses off line and paste them into the appropriate spot prior to submitting your application.

Applications Close:  11:59pm AEST, Sunday 12 November 2017

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