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  Auto-scaling Virtual Service Chains


   Department of Research

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  Dr A Davy  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Applications are invited for MSc by Research positions with the Telecommunications Software & Systems Group (TSSG) (http://www.tssg.org) at Waterford Institute of Technology (WIT), Waterford, Ireland.
The candidate will be investigating Software Defined Networking applications such as Network Function Virtualisation. In particular the applicants will investigate the application of Artificial Intelligence to the area of auto-scaling of virtual service function chains. Solutions with be trialled with a limited set of industry partners to validate the business value of the solution.

Research Group : TSSG
Department / School: Dept. of Computing and Mathematics

Duration : 15 Months
Status: Full-time / part-time: Full Time

Funding information Funding agency: SFI
Funding programme: SFI TIDA

Value of the scholarship Stipend: € 18,000 per annum
Fees: € 4,500 per annum
Research costs: € 27000 for the duration of the project


Closing date and time 1st December 2017 4PM

Interview date 6th December

Commencement date Any time after 1st January

Further information
For any informal queries, please contact Dr. Alan Davy at email: [Email Address Removed] or telephone: +00353 (0) 51 302970
For queries relating to the application and admission process please contact the Postgraduate Admissions Office via email [Email Address Removed] or telephone +353 (0)51 302883.
Website: www.wit.ie

Application procedure
Download the Research Postgraduate Application Form and return completed applications to [Email Address Removed], quoting WD_2017_36 in the email subject line. Please note that paper submissions will not be accepted
Please note that paper submissions will not be accepted.




Funding Notes

Person specification

Qualifications
Essential
• The candidate should hold a good (first-class honours preferred) primary degree in Engineering, Computer Science, Mathematics or a cognate discipline.

Knowledge & Experience
Essential
• He/she should have strong engineering skills including experience of test-bed deployment/experimentation and programming. Strong inter-personal and communications skills are also required.
Desirable
• Practical knowledge and experience in Artificial Intelligence, Software Defined Networking, Network Function Virtualisation.

Skills & Competencies
Essential
• Applicants whose first language is not English must submit evidence of competency in English, please see WIT’s English Language Requirements for details.