School of
Information Technology and Electrical Engineering

         

 

Background

Data 61 offers scholarships to eligible PhD candidates working in data-related disciplines such as Analytics, Cyber-Physical Systems, Software and Computational Systems and Decision Sciences, through the Data61 CSIRO Scholarship Program.

Successful scholarship applicants will be enrolled at the University of Queensland, co-supervised by UQ academics and Data61 researchers, to work on real-world projects that deliver significant research outcomes for the national benefit. *

Eligibility

Applicants may be Australian or international students. Applicants must meet UQ’s entry requirements for admission to the research higher degree program and must apply to both the University of Queensland and Data61 to be considered for a Data61 scholarship.

Duration and level of Award

Data61 offers full stipends, set at a rate equivalent to the Research Training Program (RTP) rate (indexed annually), and top-up scholarships of up to $10,000 pa, for periods up to 3.5 years.

How to apply

The School of ITEE offers the following research projects as opportunities for collaboration between UQ and Data61.

  • If you are interested in any of these projects you will first need to make contact with the UQ supervisor listed below.
  • If the supervisor agrees to supervise you and your qualifications and background are suitable for the project, you will then need to go through the application process for RHD study at UQ and meet entry requirements for admission. You will need to indicate in the online application form that you intend to apply for the Data61 scholarship program.
  • Once you have submitted your application with UQ, you can then contact the Data61 supervisor to obtain their written agreement to supervise the project in collaboration with the UQ supervisor. Please see information about how to apply for the Data61 scholarships.

Enquiries:

Further enquiries should be directed to Data61 student scholarship administration at data61-scholarships@csiro.au, and the RHD student administration office at the School of ITEE, UQ: rhdstudentenquiries@itee.uq.edu.au.


Available Projects:

 

Information diffusion across heterogeneous social networks

A wide range of information sources are highly accessible than ever before, with the help of technological advancements in mobile devices and applications such as social networking services, news feeders, and social media aggregators. Also, the high accessibility is boosted by sharing diverse information between connected neighbours in social networks. Such collective human behaviours not only make underlying social networks far-reaching across multiple social platforms but also leads their connectivity patterns to evolve over time, in accordance with the topic of information items. In this context, PhD research is about uncovering dynamics of topic-related global diffusion across heterogeneous social networks, which includes analysing bursty human behaviours and developing diffusion models.

More information: https://research.csiro.au/dss/

Supervisors:

 


Energy-neutral tracking

Long-term tracking is critical to logistics, disease spread, and ecology, yet current tracking technologies such as GPS consume too much energy to operate for long durations. This project will investigate algorithms that rely on energy harvesting sources (such as solar, vibration..) to achieve energy-neutral operation on embedded trackers, while delivering high tracking performance.

More information: https://research.csiro.au/dss/

Supervisors:

 


Dynamic control and motion planning for climbing robots

One of the key challenges in many applications are access and inspections of vertical surfaces. The vertical surfaces could either be in natural domains like tree trunk and branches, or in industrial environments like support trusses, structural walls. The successful candidate will work with a team of CSIRO researchers to develop novel algorithms and implement them on CSIRO legged platforms.  

More information is available at: https://research.csiro.au/robotics/research-areas/ 

Supervisors:

 


Long Term Localisation and Navigation for Autonomous Vehicles

The topic will focus on long term localisation using a combination of vision, laser and other sensors through intelligent sensor fusion. The goal is to perform autonomous navigation on a two-person medium-size electric vehicle that has been automated by the CSIRO. The successful candidate will have access to CSIRO's infrastructure and support from hardware and software engineers during the project.

More information: https://research.csiro.au/robotics/research-areas/

Supervisors:

 


Evolving body parts for robots

This project is designed to augment our collection of legged robots with specialised legs/end effectors, that are automatically designed through evolution and can be easily attached to our current chassis by “clipping on”. The legs will be designed using an Evolutionary Algorithm, based on their performance on several simulated environments. Simulation results will be validated by 3D printing the best designs and assessing on our physical test rig. We would like to use real-world information from the physical tests to enhance the accuracy of the simulator.

More information: https://research.csiro.au/robotics/research-areas/legged-robots/

Supervisors:

 



Whole body control for next generation of legged robots navigating in unstructured terrain

Legged robots such as six legged hexapods have a lot of potential in remote exploration as well as search and rescue tasks in difficult terrain.  This project aims to develop the next generation of legged robots capable of such tasks in real world scenarios with a focus on whole body control.  The successful candidate will get access to CSIRO’s state of the art robotics lab and work with a team of CSIRO researchers to implement developed control methods on real robots.

More information: https://research.csiro.au/robotics/research-areas/legged-robots/

Supervisors:

 


Real-time Visual SLAM and Sensor Fusion using Continuous-Time Trajectories

This project focuses on visual SLAM (Simultaneous Localisation And Mapping) which utilises a camera as a main sensor modality and may combine other sensors such as laser and IMU to enhance the robustness. With the advent of powerful yet affordable CPUs and GPUs, real-time visual SLAM systems such as Microsoft Kinect Fusion and Google Tango have received huge attention from the robotics and computer vision communities. Since cameras are everywhere these days and small form-factored, vision-based SLAM systems have enormous potentials and will bring a huge impact to many technical domains including mobile robots, autonomous cars, and virtual/augmented reality. In particular, the concept of continuous-time trajectories will be applied to deal with rolling shutter cameras or fast-moving global shutter cameras, and to combine multiple sensors of different measurements rates to address the SLAM problem.

More information: https://research.csiro.au/robotics/research-areas/

Supervisors:

 


* Please note that while the student’s enrolment is administered by UQ, the scholarship is administered by Data61, so applicants are advised to check the Data61 website for further details and application deadlines, which may vary from University dates.