Robotics learning from a dynamic environment

Project description

Most learning experiments with robots involve a static environment that does not experience significant change during learning.

This project uses a reconfigurable ‘maze’ environment in hardware, which can be actuated to bring up a massive variety of maze challenges for our robot.

The main focus is on how the use of an environment that learns from the robot, as well as a robot that learns from the environment, affects the learning process.

This is an opportunity for undergraduate or Masters students required to complete a placement or Thesis Project as a component of their tertiary study to immerse themselves in an innovative environment to gain valuable skills and experience that you won’t find anywhere else.

This placement is from three to nine months in duration and it will provide you with access to our leading scientists and mentors, real-life experience working in the robotics area while completing a component of your tertiary study.

Requirements and eligibility

We expect to see a record of a satisfactory academic standard, and if applications are from overseas, be assured that students have sufficient funds to cover their travel and living costs whilst in Australia. It is recommended that international applicants view the Australian Government website ‘Study in Australia’.

Required skills: Programming, robotics and machine learning.

How to apply

Industrial internships are not part of a formal program so to apply please contact Dr David Howard via david.howard@csiro.au to discuss your interest.

Please supply the following information and documentation at time of contact for your application to be considered:

• a current c.v.
• details of grades or an academic transcript
• the degree you are enrolled in
• number of years completed