PhD Studentship in Machine Learning for Smart City Data Analysis
University of Surrey -Department of Electronic Engineering
Location: Guildford
Post Type: Full Time
Closing Date: Sunday 01 June 2014
Interview Date: To be confirmed
Reference: 020714
Applications are invited for a funded three-year PhD studentship to investigate the novel techniques and solutions for processing and interpretation of large-scale heterogeneous sensor data streams in smart city domain. The research will focus on stream processing, data discovery and information extraction methods to process and interpret distributed observation and measurement data collected from smart environments. The research work will involve Internet of Things data analysis, machine learning (e.g. probabilistic machine learning or nature-inspired learning methods), information abstraction and knowledge extraction methods and Big Data analytics to process sensory data and extract actionable knowledge from raw observations and measurements.
Candidates should hold a 1st class or 2.1 honours degree in Engineering, Computing, or a related field. Overseas students with equivalent degrees will also be considered. The candidate will preferably have a Master's degree with distinction and research backgrounds in one or more of the following areas: machine learning, knowledge and data engineering, Internet of Things, wireless sensor networks, and semantic web.
The award will be for a period of 3 years and include Home/Overseas tuition fees plus a stipend (approx. £13,590 p.a). Applications are welcome from both the UK and internationally.
The student will be jointly supervised by Dr Payam Barnaghi and Prof. Rahim Tafazolli at the Centre for Communication Systems Research, the University of Surrey. The Centre for Communication Systems Research (CCSR), which incorporates the newly established 5G Innovation Centre (5GIC) is the largest and most well-known academic research centre in Mobile and Satellite Communications Systems in Europe and has an outstanding track record in research and innovation.
Informal enquiries should be directed to Dr Payam Barnaghi, e-mail: p.barnaghi@surrey.ac.uk
Applications: Applications should be sent by email to p.barnaghi@surrey.ac.uk. Completed applications should include 1) a curriculum vitae, 2) a statement of research interests (2-3 pages), 3) contact details of two academic referees, and 4) copies of transcripts and certificate of qualifications.
Closing date: The review process for the applications will start 2 weeks after the advertisement date and will continue until a suitable candidate is recruited.
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