Applications are invited for a fully-funded PhD studentship, to seek ways to efficiently process dynamic large-scale graph structures in near-real time. A major emphasis will be on understanding “what” analysis techniques are most relevant, in order to process real world use cases that rely on data coming from social networks, the Internet or content elements such as images. Based on that, the student will research to answer “how” to make big data systems work for these applications. The research will take place at the intersection of big data processing systems, and data mining algorithms for intelligent sensing. (http://cis.eecs.qmul.ac.uk/).

All nationalities are eligible to apply for this studentship, which will start in Autumn 2015. The studentship is for three years, and covers student fees as well as a tax-free stipend of £16,057 per annum.

Candidates must have a first-class honours degree or equivalent, or a good MSc Degree in Computer Science, Electronic Engineering, or Mathematics. Candidates should have strong programming experience, e.g. Scala, C, Java, or Python. Practical experience in large-scale processing platforms (e.g. Spark, Storm) would be desirable.

The main PhD supervisor will be Dr. Félix Cuadrado (Big Data Processing). The student will become a member of the interdisciplinary Centre for Intelligent Sensing. Over the PhD time the student will collaborate with academics from the Centre to apply large-scale graph processing techniques for sensing in multiple domains. Informal enquiries about the studentship can be made by email to Dr. Cuadrado (felix.cuadrado<στο>qmul.ac.uk).

To apply, please follow the on-line process (www.qmul.ac.uk/postgraduate/apply) by selecting ‘Electronic Engineering’ in the ‘A-Z list of research opportunities’ and following the instructions on the right-hand side of the web page. 

Please note that instead of the ‘Research Proposal’ we request a ‘Statement of Research Interests’. Your statement should answer two questions: (i) Why are you interested in the topic described above? (ii) What relevant experience do you have? Your statement should be brief: no more than 500 words or one side of A4 paper. In addition we would also like you to send a sample of your written work. This might be a chapter of your final year dissertation, or a published conference or journal paper. More details can be found at: http://www.eecs.qmul.ac.uk/phd/apply.php

The closing date for the applications is 01/05/15.

Interviews are expected to take place during the week of 15/05/15.