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Fully funded PhD positions are available as a part of a research collaboration between the Autonomous Systems Program at the Commonwealth Scientific and Industrial Organization (CSIRO) and two research groups at the Queensland University of Technology (QUT),
namely the Speech, Audio, Image and Video Technologies (SAIVT) research group and the Robotics and Autonomous Systems Research Program. All three research programs are located in Brisbane, Australia</p>
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1. Dense 3D Modelling of Deformable Human Body Parts</p>
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The research in this PhD programme will focus on developing algorithms for estimating non-rigid surface deformations of partially observable surfaces on the human body. To solve this problem we will use information from images and range data to constrain the
solution. The PhD research will include estimation of partially observable surfaces, deformable object modeling, and tracking and dense 3D reconstruction of deformable objects in real-time with application in healthcare. </p>
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2. Active 3D multi-modal situation awareness system for assistive robotics systems </p>
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The research in this PhD topic will focus on developing enhanced situational awareness technologies that enable assistive robotics systems to share workspaces and collaborate with their human coworkers safely and securely. The PhD programme will involve the
development of active 3D multi-modal (e.g., visible, thermal) systems suitable for situation awareness and motion planning for navigation of assistive robots in a dynamic and unstructured environment. Techniques will also be developed to estimate and track
the movements and behaviour of human workers in the co-located environment, enabling the assistive robot to navigate safely around human workers.</p>
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Position Requirements:</p>
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- a Master’s degree in a relevant area (e.g., Computer Science, Electrical Engineering, Mechatronics, Physics or other related fields)</p>
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- Strong competencies in one or more of the followings areas: Robotics, Computer Vision, Signal Processing. </p>
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- Demonstrated strong programming skills in C++ or Python. </p>
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- Demonstrated Research Experience (for example, a good publication record)</p>
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- Experience in Robot Operating System, OpenCV and/or PCL</p>
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How to apply: (Deadline 15th June 2016)<br>
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Prospective students should send the following documents in a SINGLE PDF file to Dr. Peyman Moghadam (peyman.moghadam@csiro.au) with the subject [PhD]</p>
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- one page cover letter explaining your research background and interests,</p>
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- CV or Resume with list of publications,</p>
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- Transcript <br>
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PLEASE DO NOT SEND ANY COMPRESSED FOLDER.<br>
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About The Autonomous Systems Program and CSIRO</p>
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The Autonomous Systems Program at CSIRO has over 100 scientists and researchers, and is a world leader in its field. It develops foundational and applied research in robotics, computer vision, distributed sensing and sensor networks, and autonomous systems
for a broad range of domains. It has very well–equipped laboratories with strong engineering support, and a variety of aerial, aquatic, wheeled and legged robotic research platforms. The PhD projects will be conducted with joint supervision of CSIRO and QUT
researchers. </p>
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The Commonwealth Scientific and Industrial Research Organisation (CSIRO) is Australia’s national science agency and one of the largest and most diverse research organisations in the world. Research spans five broad areas: information and communications; manufacturing,
materials and minerals; environment; energy; and food, health and life sciences. CSIRO provides a highly innovative and dynamic research environment, and is positioned in the top 1% of global research institutions in 14 of 22 research fields and in the top
0.1% in four research fields.</p>
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For more information about CSIRO’s Autonomous Systems Program visit: </p>
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<a href="https://confluence.csiro.au/display/ASL/Autonomous+Systems">https://confluence.csiro.au/display/ASL/Autonomous+Systems</a><br>
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and for more information about CSIRO visit: </p>
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<a href="http://www.csiro.au">http://www.csiro.au</a><br>
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About Queensland University of Technology (QUT)</p>
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Queensland University of Technology (QUT) is a leading Australian university with “real world” focus in teaching and research and an annual research income of more than $80M. The two PhD projects will be hosted in the SAIVT and RAS research programs within
the Science and Engineering Faculty (SEF) of QUT. The Faculty has around 1000 higher degree students and provides excellent research facilities and exciting research space in the new $230M Science and Engineering Centre. The SAIVT and RAS research programs
sit within the School of Electrical Engineering and Computer Science and work together in delivering world leading research in the areas of computer vision, machine learning, image processing and robotics. </p>
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For more details about the SAIVT research program visit: <br>
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<a href="https://www.qut.edu.au/research/saivt" title="https://www.qut.edu.au/research/saivt
Cmd+Click or tap to follow the link">https://www.qut.edu.au/research/saivt</a>​<br>
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For more details about the QUT Robotics and Autonomous Systems (RAS) Group please see:</p>
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<a href="https://www.qut.edu.au/science-engineering/our-schools/school-of-electrical-engineering-and-computer-science/robotics-and-autonomous-systems">https://www.qut.edu.au/science-engineering/our-schools/school-of-electrical-engineering-and-computer-science/robotics-and-autonomous-systems</a>​<br>
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Bests,<br>
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Dr Peyman Moghadam</p>
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Research Scientist</p>
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CSIRO<br>
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