Research Fellow wanted in Networked Embedded Systems8th May 2017
I am recruiting for a Research Fellow for a multidisciplinary project researching wearable, self-powered, embedded sensing systems that are wirelessly networked with smart city infrastructure. This particular post is related to the project's Circuits and Algorithms theme, which is concerned with novel circuits, algorithms and protocols to enable the efficient integration of energy harvesting sources into low-power networked sensing systems. The successful applicants will research, develop and evaluate algorithms, circuits and techniques to enable efficient, self-powered, embedded networked sensing systems.
Networked Embedded Systems Research Fellow
Photo copyright Jon Banfield, 2015
Applicants should be good communicators able to collaborate with others, take a methodological approach to their work, and be hard-working and reliable. Applicants should have a PhD or equivalent professional qualifications and experience relating to one or more of the following areas: networking protocols for embedded systems; software development for embedded microcontrollers; low-power and energy harvesting embedded systems. They are also expected to have experience of the practical validation of their research, ideally using commercial microcontroller platforms.
The nature of the funding source means that the successful candidate is expected to only be employed on this particular project for a maximum period of one year, ideally moving onto other suitable projects within the research team after this. You will also be supported in contributing to research proposals in areas related to this project. The project also has a 'flexible innovation fund' which provides funding that research fellows involved with the project can apply for to fund short research projects. These projects can perform feasibility studies to support proposals or publications.
For more information, click here.
Best Presentation Award at SenseCam 20124th April 2012
Our presentation entitled "DejaView: help with memory, when you need it" was awarded the best presentation prize at the SenseCam 2012 Symposium. The prize was awarded by Steve Hodges from Microsoft Research.
Abstract: Promising findings in the use of wearable memory aids such as SenseCam have been widely reported. However, to date, there has been relatively little consideration of the potential for offering memory help in real-time during daily living. Such assistance, in the form of proactiv... [more]
Autonomous Street Light Simulator21st February 2014
StreetlightSim has been produced as part of Sei Ping Lau's, a member of my research team, PhD research project. The simulator is an open source streetlight simulation environment based on the well-known OMNet++ and SUMO tools. It features a customisable road traffic pattern, described by the road traffic distribution according to different times of day and annual average daily traffic flow (AADF), and can be easily extended to different streetlight networks using OpenStreetMap and JOSM.