PhD studentship in Digital twins for optical networks

Research Group / Department / School: Optical and Wireless networks Group, Trinity College Dublin, the University of Dublin 

Location: Trinity College Dublin, School of Computer Science & Statistics, Trinity College Dublin, the University of Dublin College Green, Dublin 2, Ireland 

Reports to: Prof Marco Ruffini 

Salary: The post will pay for an annual stipend of €25,000, based on Research Ireland guidelines in addition to PhD registration fees.

Post Summary 

Novel optical access and metro networks are essential to support fast growing capacity requirement, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios, flexibility becomes an essential feature, driven by the development of flexible components and open networks. 

Development of Digital Twins, capable of building dynamic models from information gathered form live networks become essential to manage network requests, while maintaining high availability and optimal resource utilization.

 One PhD studentship is available for work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and critical component analysis, and (iii) development of Automation of ML model and data selection. 

The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed-oriented research. The work will be carried out in the new OpenIreland research infrastructure, a large-scale testbed for experimentation in open optical, wireless and cloud technologies. 

The position will be based in the School of Computer Science and Statistics at Trinity College Dublin, Ireland and will be funded under the Science Foundation Ireland Investigators award project. The researcher will have the opportunity to build their research portfolio within a range of projects within Prof. Ruffini’s Research group. The researcher will also be part of the School of Computer Science and Statistics in TCD. 

The position will be under the direction of Prof. Marco Ruffini.

Person Specification 

The appointable candidate will hold a degree, preferably a masters degree, in a Computer Science, Electronic Engineering or related discipline. 

Qualifications 

Bachelor or preferably masters degree. The successful candidate will join a team of highly skilled and innovative researchers in next generation optical and wireless networks.