Managing the data deluge for Big Data, Internet-of-Things, Industry 4.0 environments

Primary supervisor

Additional information

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Other projects with the same supervisor

Funding

  • Competition Funded Project (Students Worldwide)
This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

Project description

A number of environments nowadays are based on extracting useful knowledge from significant amounts of data. Regardless of the domain, a common theme in such environments is the enormous amount of data generated, something that requires sophisticated analysis to manage a range of trade-offs in terms of cost, performance, scalability, energy consumed, resources, traffic and so on. The idea of this project will be to investigate some of the trade-offs and propose solid solutions for managing these motivated from real-world application scenarios or industry as part of the Industry 4.0 vision.

Person specification

For information

Essential

Applicants will be required to evidence the following skills and qualifications.

  • You must be capable of performing at a very high level.
  • You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.

Desirable

Applicants will be required to evidence the following skills and qualifications.

  • You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.
  • You will have good time management.

General

Applicants will be required to address the following.

  • Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
  • How well does your previous study prepare you for undertaking Postgraduate Research?
  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Why do you believe you are suitable for doing Postgraduate Research?
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