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Novel optical access and metro networks are critical to meeting the ever-increasing capacity demands driven by 6G and beyond.
However, in this rapidly changing landscape, flexibility becomes paramount.
Especially, the integration of fire sensing into today's telecommunications network promises to deliver a global and ubiquitous sensing network.
Making use of novel network designs pivoting around flexible components and open architectures, fibre sensing technologies can be used to improve network resilience, fault detection, and provide novel services such as multiple types of environmental monitoring.
However, to fully harness these capabilities, networks also require intelligent control planes capable of autonomous and dynamic provisioning of fibre sensing technologies across the network.
We are seeking a highly motivated Postdoctoral Researcher to explore intelligent, AI-enabled control planes and data processing for fibre sensing in optical networks .
The work will focus on the development of methods for analysing fibre sensing signatures as well as methods to incorporate sensing across telecommunications networks to deliver the performance level required by the multiple sensing applications.
The applicants should have a solid theoretical background on machine learning, optical networks and fibre sensing applications, 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 optical, wireless and cloud technologies.
The position will be based in the School of Computer Science and Statistics, Trinity College Dublin, Ireland, and in the ADAPT centre.
The researcher will have the opportunity to build their research portfolio within a range of projects.
The position will be under the direction of Prof. Marco Ruffini Application Procedure