Postgraduate Research Opportunity- Geographically Remote Analysis of Industrial Data Sets (GRAIDS)

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Job Description:

Science Foundation Ireland (http://www.sfi.ie/) recently approved funding for a dedicated research centre in the Smart Manufacturing. The Confirm Centre for Smart Manufacturing (https://confirm.ie/about/) is a research centre based at the University of Limerick with partner institutions Athlone Institute of Technology (www.ait.ie), Tyndall National Institute, University College Cork, Cork Institute of Technology, NUI Galway, Maynooth University, Limerick Institute of Technology and Tralee Institute of Technology. The Centre, which is co-funded from industry, brings together 42 industry partners and 16 international manufacturing centres of excellence to focus on the development of smart manufacturing for applications across Ireland’s leading industrial sectors. Confirm’s ambition is to become a world leader in smart manufacturing research and to enable Irish industry to fundamentally transform to a smart manufacturing ecosystem, delivering measurable and visible economic impact to Ireland. The successful candidate will work with a world-class team of academics, researchers and industry partners in a highly innovative and motivated environment.

The advent of smart manufacturing and associated Internet of Things (IoT) connectivity is placing added strain on telecommunications networks. For equipment manufacturers the explosion in end user network utilisation has placed significant demands on resources. The requirement for pervasive coverage has resulted in a significant increase in mobile base station numbers. This increase has required a reanalysis of traditional network management approaches. Remote base station must implement dynamic governance in order to provide sufficient coverage for automated manufacturing process control. The term Self-Organising Network (SON) is taken to mean a cellular network in which the tasks of configuring, operating, and optimising are automated. This project proposes to determine the technical feasibility of creating a Geographically Remote Analysis of Industrial Data Sets (GRAIDS) architecture. GRAIDS will create a data processing hierarchy in which macro context of Industrial processing data is considered when determining the processing location of data. In order to address the real time requirements of the SON systems in the network element GRAIDS implement a remodelling of data analysis towards a distributed yet coordinated system.

As part of this industry co-funded PhD by Research the successful applicant will develop a closed loop intelligent system which determines the optimal physical location for data analysis based on available network conditions and the real time requirements of the manufacturing robotic process.

The successful candidate will join an AIT confirm team of approximately 15 researchers and will have access to expertise in the wider €47 Million Confirm centre. The study is one of five PhD programmes co-sponsored by an Irish based multinational company who will assist in directing the projects.

 

 

Minimum Qualifications/Experience Necessary/Any Other Requirements:

First or high second (2.1) class honours degree in Computer Science or a related discipline. Minimum IELTS 6.0 with no band less than 5.5 (for students with a degree from a non-English-speaking country. The candidate must be highly self-motivated and passionate about a career as a researcher.

Stipend: €18,500 per annum.

Please note:

Informal Enquiries to:
Name: Dr Brian Lee
Department: Software Research Institute / Computer & Software Engineering
Email address: blee@ait.ie

Closing date for receipt of completed applications is 17.00 on August 31st 2019

                                                  

Athlone Institute of Technology is committed to creating and sustaining an environment that values the diversity of our staff.

We encourage applications from all sectors of the community.

AIT is an equal opportunities employer and recognises that engineering is under represented by the female gender. As such applications are highly welcomed from female applicants.

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