Models and Tools for Advanced Big Data Management

Applications are invited for a three year Postgraduate studentship, supported the School of Engineering and Applied Science, to be undertaken within the Computer Science Research Group at Aston University. The successful applicant will join an established experimental group working on BIG DATA.

This studentship is combined with a teaching assistant role. The successful candidate will be required to provide teaching support for a distance learning programme under the direction of the project supervisor; therefore the student must be capable of teaching on a specific module. Details of teaching responsibilities and a list of taught modules can be found here - http://www.aston.ac.uk/EasySiteWeb/GatewayLink.aspx?alId=246435

The position is available to start in July 2018 (or earlier by agreement)

Financial Support

This studentship includes a fee bursary to cover the home/EU tuition fee rate, plus a maintenance allowance of £15,500 in 2017/18.

Applicants from outside the EU may apply for this studentship, but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, currently this is £12,005 for the 2017/18 academic year. As part of the application you will be required to confirm that you have applied for, or, secured this additional funding.

Background of the Project

In the past a few years, we have witness the rise of “Big Data”, driven by the increasing availability of data from multiple sources. Today's unprecedented data volume and speed of generation make big data management a very big challenge. The main aim of this PhD research program is to explore the current and future challenges in data management, and develop solution and tools to manage and analyze Big Data in various application domains. The project will collaborate with entrepreneurial partners and explore novel data analysis techniques. The project will develop solutions that can be used to analyze large volumes of historical data and generate outputs for community leaders for predictive management of local infrastructure. The main objectives of this project are:
• Exploration of novel Multi-dimensional data view mechanisms on the historical data.
• Exploration of data analytics techniques for the discovery of links in data for community leaders to carry out predictive management.

We are looking for an excellent student with strong first degree or Master’s degree in Computer Science/Electronic Engineering or related areas relevant to the PhD topic. Experience in data modelling, machine learning, and data analytics and visualization would be considered desirable.

Person Specification

The successful applicant should have a first class or upper second class honours degree or equivalent qualification in Computer Science. Preferred skill requirements include knowledge/experience of data modelling, machine learning, and data analytics and visualization.

For informal enquiries about this project and other opportunities within the Computer Science Research Group (http://www.aston.ac.uk/eas/about-eas/academic-groups/computer-science/), contact Dr Hai Wang by email at [Email Address Removed]

The online application form, reference forms and details of entry requirements, including English language are available on the Aston University website here - http://www1.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/

Applications must also be accompanied by a research proposal giving an overview of the main themes of the research, explaining how your knowledge and experience will benefit the project,

Details of how to write your project proposal are also included in the How to Apply section - http://www1.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/

Closing Date: 16 January 2018