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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 Post Doctoral researcher position is available to work in the area of Digital Twins for optical networks, making use of intelligent AI-driven control planes .
The applicants should have a solid theoretical background on machine learning and optical networks and willing to engage in testbed-oriented research.
The work will be carried out in the 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, with Prof. Ruffini research team and affiliated with the ADAP research centre on AI, at Trinity College Dublin, Ireland and will be funded under the Research Ireland Investigators award project.
The researcher will have the opportunity to build their research portfolio within a range of projects within the team.
The position will be under the direction of Prof. Marco Ruffini Application Procedure