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 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 ADAPT 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.
Standard Duties and Responsibilities of the Post
The primary focus of the EPR will be to perform research on the National Research Ireland project, although they might also work on other projects. In addition, the EPR’s activity will be broader and the EPR is also expected to:
Funding Information The post is primarily funded by Research Ireland but may involve funding from other sources based on the successful candidates’ interests.
Person Specification The appointable candidate will hold a PhD, preferably in a Computer Science or Electronic Engineering or related discipline (preferably with a few months of postdoctoral experience).
Qualifications PhD or equivalent experience. The post is applicable to both new or experienced PhD holders, and salary will be commensurate with experience and achievement. The successful candidate will join a team of highly skilled and innovative researchers in next generation optical and wireless networks.
Knowledge & Experience (Essential & Desirable) • Experience in use of Software Defined Networking or Open optical systems. • Working knowledge of machine learning theory and algorithms. • Working knowledge of python programming language and Linux operating system. • Experience in optical control and transmission experimentation in the laboratory. • Knowledge of optical transmission in fibre. • Knowledge of networking both at physical layer and protocols (layer2/layer3). • Experience with network-oriented programming. • Excellent written and oral communication skills • The ability to work well in a group. • The ability to collaborate internationally. • Strong self-motivation and willing to learn attitude.
Skills & Competencies • Excellent experimental skills working with machine learning applied to experimental data from optical networking testbeds. • Evidence of accomplishment in research and development in the area of control planes for optical communications. • A capability of working within a project team to achieve group-oriented results, in parallel to individual productivity and top-quality publications. • Good communication, organisation and interpersonal skills. • A commitment to gaining practical experience working on a research project.
Application Procedure
Applicants should submit a full Curriculum Vitae to include the names and contact details of 2 referees (including email addresses), to: Marco Ruffini Email Address: [email protected]
Deadline noon 20th February 2026
Please download full job spec for further information