留学资讯 Study Abroad Info
Three PhD Positions (Robotics) in New Zealand and Australia
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Two funded PhD positions at The University of Auckland, NZ
Two funded PhD positions are available in the Electrical and Computer Engineering Department at The University of Auckland, New Zealand.
Students hired to fill these positions will work with a team of researchers to address fundamental learning and knowledge representation challenges in human-robot collaboration. Students will have the opportunity to design, implement and evaluate novel algorithms and architectures for different (i.e., wheeled, humanoid and aerial) robot platforms deployed in diverse application domains such as healthcare and agriculture.
Essential (and Optional) Requirements:
-- Excellent undergraduate or Masters degree in Engineering, Computer Science, Mathematics or a related discipline.
-- Expertise in probability theory and statistics.
-- Excellent programming skills.
-- Knowledge of fundamental principles of robotics, AI and/or machine learning, e.g., a course in any of these topics.
-- Satisfy requirements for admission to the doctoral program at The University of Auckland.
-- (Optional) Prior expertise with physical robots will be a plus.
If you are interested, you may send a brief statement summarizing your expertise and interests, along with a link to your CV (please do *not* send email attachments), to Dr. Mohan Sridharan: m.sridharan@auckland.ac.nz
Dr. Mohan Sridharan
Department of Electrical and Computer Engineering
The University of Auckland, New Zealand
http://homepages.engineering.auckland.ac.nz/~smohan/
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PhD Candidature in Robotics (CAS-UTS)
One remaining PhD Candidature Position is available with the Centre for Autonomous Systems at the University of Technology, Sydney (UTS).
The Centre for Autonomous Systems (CAS) has recently entered into an industry linked innovation focused research programme. Our focus is bringing "Robotics Thinking to Transport Environments", and our research
network has enabled us to explore this focus on-site at several of Australia's largest and busiest train stations. This industry link has enabled us to conduct our HRI sensing and perception research at large scale and places its impact in real world conditions.
We are currently seeking highly motivated researchers to contribute to the research sub-themes of:
- Person Awareness: This sub-theme focuses on person detection, tracking through occlusions and ambiguities, trajectory prediction, cue recognition, machine learning, and large scale behaviour pattern recognition and
identification over large temporal spaces in transport environments such as railway stations.
- Train awareness: This sub-theme focuses on train detection and train features detection such as arrival/departure, doors opening/closing, train behavioural indicators of malfunction, etc. from an off-board sensing system, machine learning, and large scale behaviour pattern recognition and identification over large temporal spaces in transport environments such as railway stations.
These sub-theme openings relate to robotics, RGBD image processing and analysis, tracking, feature based ambiguity resolution, data fusion from multiple sensing systems, Gaussian processes, machine learning, and Human Robot/Machine Interaction (HRI / HMI), along with mechatronics and systems design, and integration.
The perspective researchers will work with an interdisciplinary team consisting of researchers from the CAS (UTS), Institute of Sustainable Futures (UTS), the Transport Centre (UTS), and from a large multi-national company in the Transport sector.
Applicants:
- Must be intending to pursue a PhD degree in Robotics with CAS UTS
- Must be self-motivated, have strong problem-solving, writing, programming (C/C++), interpersonal, and analytical skills.
- Must be willing to travel nationally and international for research site visits and to attend conferences.
- Should have experience in one or more of the topics mentioned above as relevant to these opening.
- Demonstrating a previous research track record in the above mention topics will be received favourably.
Remunerations will be at, or, above standard Post Graduate Award rates commensurate with qualifications and experience.
International applications will be considered, and strong applicants may be eligible for study fee waivers in addition to the above stipend.
A mechanism is available to enable prospective applicants to make an immediate start.
Qualified candidates are invited to express their interests via email with a detailed CV (including objective, education background, experiences, transcripts, representative publications, and skills) to:
Dr Nathan Kirchner
Research Principle RobotAssist - Centre for Autonomous Systems
Senior Lecturer - Faculty of Engineering and I.T.
University of Technology, Sydney
nathan.kirchner at uts.edu.au
<http://duerer.usc.edu/mailman/listinfo.cgi/robotics-worldwide>
www.nathankirchner.com
www.cas.edu.au
www.uts.edu.au
时间:2014-09-02
13521402708
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