PhD Studentship
Centre for Vision, Speech and Signal Processing
Faculty of Engineering & Physical Sciences
(Ref: 6435)
This is your opportunity to study for a PhD at the Centre for Vision, Speech and Signal Processing, one of the UK’s premier research centres in Computer Vision. The studentship is available immediately and covers both tuition fees and a maintenance grant for 3 years. Successful applicants will join an expanding research group within the Centre for Vision Speech and Signal Processing, which currently has three professors, a reader and seven lecturers, twenty research fellows and about fifty PhD students. CVSSP has an international reputation for the excellence of its research and, in the last Research Assessment Exercise, the Department (of Electronic Engineering) was awarded grade 5*A.
The studentship is part of the EU project ‘DIPLECS’ which seeks to design a Cognitive Architecture that can learn how to drive a car by watching a human. The system will be demonstrated in two domains: providing driver feedback in a real car as part of an assisted safety system and in the autonomous control of model RC devices.
The studentship will investigate visual learning in the domain of weak supervision. Such weak supervision could take the form of object categorisation learnt from images gathered from the internet or using linguistics in the form of commentary to build concepts of objects and actions. The focus will be upon the generic techniques to perform learning from noisy unlabelled data.
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January 23rd, 2008
The Vision & Robotics Research Group (VIROB) is the expertise centre -at the Faculty of Engineering, National University of Malaysia - for machine vision technology. VIROB possesses comprehensive knowledge in the area of system integration and technology development and has product- and process knowledge to implement innovations together with industries. In addition, it has good networking with universities, knowledge organizations and engineering companies within and outside Malaysia. VIROB therefore plays a pivoting role in the coordination of supply and demand of such knowledge and technology. Our research areas range from fundamental computer vision methodologies to machine vision applications.
PhD details
The candidate will be required to carry out international level research in image analysis, features extraction and classification. This will involve developing a novel and robust technique for automated vision recognition for data collection in precision farming technology. The candidate would be expected to have a higher honours degree in electrical or computer science discipline. Prior computer vision experience, programming in MATLAB & C would be advantageous.
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January 12th, 2008
In relation to several EU research projects (GRASP, CogX, robots@home) and the Austrian Research Network Cognitive Vision we seek highly motivated researchers at PhD and PostDoc level with experience in computer vision, image processing, robotics and/or cognitive vision. To learn more about the above projects and the work at the Vision for Robotics Lab please visit http://robsens.acin.tuwien.ac.at/.
Requirements
The ideal candidates would possess strong skills in computer vision methods and good knowledge in either mathematics, cognitive science, or robotics. Candidates preferably should have excellent programming skills, want to work in teams, and should be ready to grasp the opportunity of an exchange with one of our project partners. Background can be, but is not limited to, one of the following disciplines: computer vision, computer science, cognitive science, mathematics, electrical or mechanical engineering, or technical physics.
Education Requirements
M.Sc., Dipl.-Ing. in Computer Science, Math, Physics, Engineering, or IT
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September 10th, 2007
Postgraduate Research Awards 2007
Medicine, Health & Life Sciences
School of Biological Sciences, School of Biomedical Sciences
Queen’s University Belfast is a broadly based research-driven university with a dynamic world class research and education portfolio, and strong international connections.
Funding is available for a number of awards through the Department for Employment & Learning (DEL), including Collaborative Awards in Science and Technology (CAST), Overseas Research Students Awards Scheme (ORSAS) and the European Social Fund (ESF), for postgraduate students commencing in October 2007. University Studentships will be allocated for international students in key research areas in realisation of its internationalisation strategy. Awards will be made on a selective basis to areas of research priority in Schools, and will be available on a competitive basis to the best-qualified candidates. Full details are available on the website at www.qub.ac.uk/postgraduate
School of Biological Sciences: Agri-Food & Land Use; Ecology & Evolutionary Biology; Molecular Biology. http://www.qub.ac.uk/bb/
School of Biomedical Sciences: Cancer Research & Cell Biology; Vision Science. http://www.qub.ac.uk/schools/SchoolofBiomedicalSciences/
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January 13th, 2007