Funded PhD Opportunity BTIIC-05: Process Analytics for predictive and self-correcting processes

This opportunity is now closed.

This project is funded by: BT Ireland Innovation Centre (BTIIC) Inveset NI

Subject: Computer Science and Informatics

Summary

BT Ireland Innovation Centre:

This studentship is one of twelve such PhD studentships, offered in collaboration with British Telecom and tenable in the School of Computing, Faculty of Computing, Engineering and the Built Environment at Ulster University based at the Jordanstown campus. The studentships relate to different research topics in future telecommunication networks and services with a particular emphasis on Intelligent Systems, Future Big Data Analytics, Internet of Things (IoT), Cyber Security, Fixed and Mobile Network Services. They are part of the recently funded BT Ireland Innovation Centre (BTIIC) which is a collaborative project between BT and Ulster University, with a large presence in BT Belfast. BTIIC is an ambitious research and engineering project, initially running for 5 years, and funded by Invest Northern Ireland. It comprises two Research Workstreams: (i) Intelligent Systems, and (ii) IoT – Trust, Security and Dependability. The research topics proposed for the 12 studentships are in these broad areas.

Project summary: Business Process Management is a critical area of Information Technology, helping businesses, governments, NGOs etc. all over the world to leverage their resources for maximum benefit. Today, business processes of all types increasingly rely on cloud-based distributed services, spread across the globe and generating huge amount of diverse data. It is widely recognized that the capabilities of Big Data Analytics to improve non-standardised, highly variable business processes may depend on efficient and scalable procedures for taking into account the representation of the process semantics as well as of the observable process events. Building on an existing bespoke system, and associated algorithms, developed within British Telecom over the past decade, new concepts for process analytics based on clustering of sequences, graph based similarity, and decision mining will be investigated. In particular, it is expected the PhD candidate will extend the previous work to develop enhanced predictive and self-correcting processes.

Additional Application Information: On the application form applicants should select one main BTIIC project and a maximum of two further project titles in which they are interested. During the lifetime of the project there will be opportunities to work with BT Belfast Global Development Centre and there also may be openings to spend a period of time as part of a related Internship at BT Adastral Park Research Laboratories in Martlesham, Suffolk, UK (see (http://atadastral.co.uk/).  Arrangements for the internship / visits will be made by the supervisory team of the PhD project in conjunction with BT, subject to satisfactory student academic performance on the project.

Essential Criteria

  • Upper Second Class Honours (2:1) Degree from a UK institution (or overseas award deemed equivalent via UK NARIC)

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 70%

Funding

This project is funded by: BT Ireland Innovation Centre (BTIIC) Inveset NI

The scholarships will cover tuition fees and a maintenance award of not less than £14,777 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.

Other information

The Doctoral College at Ulster University

Launch of the Doctoral College

Current PhD researchers and an alumnus shared their experiences, career development and the social impact of their work at the launch of the Doctoral College at Ulster University.

Watch Video

Key Dates

Submission Deadline
Friday 17 August 2018
Interview Date
Late August 2018

Contact Supervisor

Dr Darryl Charles

Other Supervisors

Apply online

Visit https://www.ulster.ac.uk/applyonline and quote reference number #242406 when applying for this PhD opportunity