[robotics-worldwide] [news] 16 PhD Positions available at QUT in Robotic Vision, Agricultural Robotics and Neuroscience- and Bio-inspired Robotics

Michael Milford michael.milford at qut.edu.au
Wed Aug 27 17:37:40 PDT 2014


The Queensland University of Technology (QUT) has multiple PhD positions available now across a range of exciting projects spanning robotic vision, agricultural robotics and neuroscience- and bio-inspired robotics. PhD Scholarships and Top-up Scholarships are available to exceptional candidates. Please note the application deadline for this year is September 30th. For a list of all projects and details of how to apply, please visit this link: http://tinyurl.com/mve7fnq. Brief details of the four project areas are given below.

*** Australian Research Council Centre of Excellence in Robotic Vision ***

Up to 8 positions are available to work with Professor Peter Corke, Dr Michael Milford, Associate Professor Ben Upcroft and Professor Gordon Wyeth across a range of topics including Robust Vision, Vision and Action, Semantic Vision and Algorithms and Architectures as part of the Australian Research Council's Centre of Excellence in Robotic Vision. Candidates will require excellent coding and math skills and ideally experience in robotics, computer vision and/or machine learning.

For further information on these positions and how to apply, please visit: http://tinyurl.com/m9t7htp

*** Queensland Department of Agriculture, Fisheries, and Forestry (DAFF) Agricultural robotics Program ***

4 positions are available as part of the Queensland Department of Agriculture, Fisheries, and Forestry (DAFF) Agricultural robotics Program. The research seeks to develop and fast track farm robotic technology that will reinvigorate agricultural productivity through increased production and reduced costs. We are looking for highly-motivated individuals to complete a doctoral degree in areas of optimal design of robotic vehicles; robot guidance; navigation, and motion control; computer vision; novel sensors; vision-based robotic manipulation; and design and control of robotic manipulators.

For further details on how to apply and topics please contact: tristan.perez AT qut.edu.au

*** Robotics and Spatial and Visual Neuroscience ***

2 PhD positions are available to work on a challenging interdisciplinary research project spanning neuroscience, robotics and computer vision. These positions are available as part of an Australian Research Council Future Fellowship to Dr Michael Milford in superhuman place recognition with a unified model of human visual processing and rodent spatial memory. The aim of the project is to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recognition skills of humans and the rodent spatial memory system. We are specifically looking for candidates with a background in robotics, computer vision, neuroscience or machine learning to work on the Human Vision Modelling research stream and the Multi-scale Spatial Memory Modelling stream.

For further information on these positions and how to apply, please visit: http://tinyurl.com/kswsgom

*** Bio-inspired Robotics ***

As part of a collaboration between Boeing Research & Technology-Australia (BR&T-A), The University of Queensland (UQ), and The Queensland University of Technology (QUT), we are seeking two PhD students to work on projects that draw inspiration from nature to address aspects of guidance, navigation, and motion control for unmanned aircraft. The first project  seeks to develop strategies for mid-air collision avoidance in aircraft based on bird behaviours, while the second project seeks to investigate and model how aggressive honeybees pursue and intercept moving targets, and use the results to design novel, biologically inspired guidance systems for unmanned aircraft that are engaged in surveillance, security and safety missions.

We are looking for highly-motivated individuals to complete a doctoral degree in the areas of inverse optimal control and Markoff decision processes; probabilistic robotics; guidance and motion control; and computer vision
For further details on how to apply and topics please contact: tristan.perez AT qut.edu.au



Michael Milford |ARC Future Fellow | Microsoft Faculty Fellow | Senior Lecturer | Electrical Engineering and Computer Science
Science and Engineering Faculty | Queensland University of Technology
S Block, Room S1110, Gardens Point Campus
ph 3138 9969 | email michael.milford at qut.edu.au<mailto:c.degroot at qut.edu.au>
CRICOS No 00213J

* Recent Publications *

* Visual Place Recognition Under Extreme Perceptual Change - "SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights", International Conference on Robotics and Automation, link http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6224623

* Navigating without GPS, using only a web camera - "Mapping a Suburb with a Single Camera using a Biologically Inspired SLAM System", IEEE Transactions on Robotics, link http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4627450

* Continual mapping and navigation over a 2 week office delivery robot experiment - "Persistent Navigation and Mapping using a Biologically Inspired SLAM System", International Journal of Robotics Research, http://ijr.sagepub.com/content/29/9/1131.abstract

* Combining robotics, neuroscience and animal navigation to manage uncertainty when navigating - "Solving Navigational Uncertainty Using Grid Cells on Robots", PLoS Computational Biology, http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000995

More information available at: https://wiki.qut.edu.au/display/cyphy/Michael+Milford
Google Scholar Profile: http://scholar.google.com/citations?user=TDSmCKgAAAAJ&hl=en



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