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Postdoctoral Fellow - Designing Robot Morphologies

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  • Use your research skills in Machine Learning and contribute to the advancement of Robot Design!
  • Collaborate with world leading, dedicated professionals in robotics, artificial intelligence & advanced materials!
  • Join a cohort of early career scientists & engineers & pursue high-impact research!

The Position

This postdoctoral fellowship is part of the CSIRO’s Active Integrated Matter (AIM) Future Science platform.  AIM is one of six Future Science Platforms funded by a new CSIRO cross-disciplinary initiative on future science that combines innovation in materials, robotics, sensing, and autonomy.

As part of AIM, you will focus on a new capability: to create task- and environmentally-adapted robots. You will develop models of novel materials and parts, allowing them to be considered in the robot design process. This will allow the FSP to apply its considerable Materials Science expertise to the promising field of robot design. Your role in developing this capability will bridge the gap between robotics and materials, and is therefore fundamental to the platform.

The Postdoctoral Fellow will work in collaboration with a roboticist, two machine learning experts, and a materials scientist to carry out this project. The proposed methodology requires advancements in the modelling of advanced materials, to make them suitable for robotics applications. As this capability is projected to be a key research priority area for AIM, the Postdoctoral Fellow will also gain experience interacting closely with other CSIRO researchers with different backgrounds and expertise.

The ideal candidate will possess a PhD in machine learning, robotics, materials science, or mathematics, and be highly experienced in modelling and simulation. The candidate would also be highly proficient in one or more programming languages such as, Python, C/C++, or equivalent. Experience in evolutionary methods would be highly advantageous.

Location:    Queensland Centre for Advanced Technologies – Pullenvale, QLD Australia
Salary:        AU $78K - AU$88K plus up to 15.4% superannuation
Tenure:       3 year specified term
Reference: 43891

For more details about this exciting opportunity click on the position details link:  Position Details

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, Evolutionary Computing, (Embodied) Artificial Intelligence, Mechatronics, Software Engineering.

  • Strong programming skills (C++/Python preferred)
  • Experience with robotics
  • Experience with simulation and/or modelling
  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
  • A record of science innovation and creativity, plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.

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

About CSIRO

At the Commonwealth Scientific and Industrial Research Organisation we do the extraordinary every day. We innovate for tomorrow and help improve today – for our customers, all Australians and the world.

We imagine. We collaborate. We innovate.

Find out more www.csiro.au

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. Find out more! CSIRO Balance

About the Future Science Platforms and the Active Integrated Matter Science Platform

Future Science Platforms (FSPs) are a major new CSIRO initiative and are multi-year investments in frontier science that will help reinvent and create new industries for Australia. The Active Integrated Matter Future Science Platform called AIM is combining materials, robotics, processing and sensing technologies and autonomous science to lead ground-breaking advances at the interface of big data, advanced autonomous systems, and materials science. These inventions and advances will drive the i-manufacturing or manufacturing 4.0 revolution and put early adopter industries ahead of the competition.

How to Apply:  To apply for this position please include with your CV/Resume and a statement addressing the essential criteria, and any other information that is relevant to the position.  Please upload these as one document.  

Applications close:  This position will remain open until filled.

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