|Funding for:||UK Students, EU Students|
|Funding amount:||Not Specified|
|Placed On:||25th August 2019|
|Closes:||13th November 2019|
This PhD project will enable to researcher to study transformative technologies for rethinking how we sample and record data from a wide variety of sensors. This PhD project will be part of a major research project to study “Signal Processing in the Information Age” and a major goal is to evaluate the fundamental limits of information recovery.
Most signal processing systems for sensors, e.g. radar, lidar or wireless receivers, dispose of much of the recorded information along the processing chain. This is usually desirable and necessary so that the sensor signal can be converted into useful information in an energy efficient manner. However, improvements in processor power and the availability of low cost, large scale memory means that it is now timely to rethink this paradigm. Some of this “lost” information may be very valuable and worth recovering. For example, when the sensor system must be rapidly reconfigured beyond its intended use to address an unforeseen and imminent problem or threat. Also, with the rapid growth of machine learning tools to perform forensic analysis, the “lost” information may contain useful data on new or anomalous signals. This data may even help to evaluate degradations in the sensor itself due to temperature or aging effects. This research project is expected to be “data-driven”, making use of large multi-modal datasets available within the research consortium from DSTL and our industry partners to study practical issues in improving information recovery.
The University Defence Research Collaboration are pleased to invite applications for PhD studentships to work as part of a leading team of experts in signal processing.
The project will be hosted by the Institute for Digital Communications at the School of Engineering at the University of Edinburgh and the student will work on the University Defence Research Collaboration (UDRC).
The UDRC is a leading research partnership for signal processing for defence and develops new techniques to better transform data across many domains into actionable information, and meet the requirements for improved situational awareness, information superiority, and autonomy. The work will involve strong links with industry and the UK defence sector. The PhD student will be expected to work closely with other research team members within the UDRC and to attend regular meetings to present project updates to the sponsors and industrial partners of this project.
More information can be found at www.eng.ed.ac.uk/studying/postgraduate/research/phd/data-driven-information-recovery-sensor-systems
Tuition fees + stipend are available for Home/EU students (International students can apply, but the funding only covers the Home/EU fee rate).
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere.
All adverts will list our standard entry requirements:
Give any specific entry requirements or restrictions below (e.g. “an undergraduate degree in chemical engineering…”)
An undergraduate degree in electronic and electrical engineering, computer science or related discipline. A Masters level qualification is preferred.
Type / Role: