A Fully-Funded PhD Studentship Communications and Information Systems Research Group UCL Department Of Electrical And Electronic Engineering
*(subject to agreement, starting date: January 2008)*
We wish to recruit a PhD student to work with Dr Yang Yang on a joint Toshiba Research Europe and UCL project focussing on the development of future intelligent self-configuring wireless networks. This research project will apply cognitive radio, machine learning, and biological inspired techniques to enable wireless networks have the capability of learning, reasoning, analysing and adjusting system parameters across different network layers, in order to achieve network self-organisation and optimal performance. Our research methodologies will involve algorithm development, performance evaluation, computer simulation and, if possible, testbed experiments.
Applicants are required to have an MSc degree in Electronic/Electric al Engineering, Computer Science or a related field, good knowledge of communication networks, sound analytical skills and programming skills (e.g. NS2, Matlab, C/C++, or Java), and effective written and verbal communication skills. It is desirable that the applications have some R&D experience in cognitive radio, machine learning, radio resource management, MAC protocols, traffic analysis or wireless QoS. A good track record of publications is a plus, but not a necessary requirement.
This PhD studentship is tax-free and is for three years (Jan 2008 - Jan 2011). It will cover the UCL tuition fees (up to 16K pounds per annum for an overseas student) and a stipend of around 1200 pounds per month to cover the student's living expenses in London.
*The following is a broad outline of the main duties and responsibilities:
*• Design and analyse novel intelligent algorithms for self-organised wireless networks.
• Develop a simulation platform for performance evaluation.
• Prepare progress reports on research ideas and results for Toshiba.
• Contribute to the drafting and submitting of papers to appropriate peer reviewed journals.
• Contribute to the overall activities of the research team and department as required.
Interested applicants are encouraged to make informal enquiries to Dr Yang Yang, Email: y.yang@ee.ucl. ac.uk , Tel: +44 (0)20 7679 3973.
To apply, please summit your PhD application form online through http://www.ucl. ac.uk/prospectiv e-students/ Please put Dr. Yang Yang's name as your potential supervisor and mention your interest in "Toshiba PhD Studentship" .
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