Postdoctoral Research Fellow in Mobile Systems and Data Mining

Postdoctoral Research Fellow in Mobile Networking and Data Mining
University of Birmingham - School of Computer Science
Location: Birmingham Salary: £28,695 to £37,394 a year (potential progression on performance once in post to £39,685 a year)
Closing date: 27th October 2014
Post is available for up to 2 years
http://www.jobs.ac.uk/job/AJP559/postdoctoral-rese...
A Postdoctoral Research Fellow position is available within the CHIST-ERA/EPSRC-funded project "MACACO: Mobile context-Adaptive Caching for Content-centric Networking" in the Networked Systems and Data Science Lab at the University of Birmingham.
Finding new ways to manage the increased data usage and to improve the level of service required by the new wave of smartphones applications is an essential issue. The MACACO project proposes an innovative solution to this problem by focusing on data offloading mechanisms that take advantage of context and content information. Our intuition is that if it is possible to extract and forecast the behaviour of mobile network users in the three dimensional space of time, location and interest (i.e. 'what', 'when' and 'where' users are pulling data from the network), it is possible to derive efficient data offloading protocols. Such protocols would pre-fetch the identified data and cache them at the network edge at an earlier time, preferably when the mobile network is less congested, or offers better quality of service. Caching can be done directly at the mobile terminals, as well as at the edge nodes of the network (e.g., femtocells or wireless access points). Building on previous research efforts in the fields of social wireless networking, opportunistic communications and content networking, MACACO will address several issues in this space.
This is an exciting opportunity for conducting ground-breaking research at the interface of mobile systems and large-scale spatio-temporal data mining.
To apply you must hold a first degree in the areas of Computer Science, Engineering or a related discipline, and normally, a PhD relevant to the research area or equivalent qualifications. Also, you should have demonstrated your research competence through high-quality and high-impact publications in top conferences and journals in one (or more) of the following areas: data mining, machine learning, large-scale data processing and systems, and/or complex networks/network science.
Informal enquiries may be made to Dr Mirco Musolesi (http://www.cs.bham.ac.uk/~musolesm/) at the School of Computer Science.
To download the details of this position and submit an electronic application online please visit:
http://www.birmingham.ac.uk/staff/jobs/index.aspx