PhD student position in AI/ML for Intelligent Optical Network Management

6 days ago


Gothenburg, Sweden Chalmers tekniska högskola Full time

Optical networks are the backbone of today’s communication infrastructure. With the introduction of 6G, they are expected to become more flexible, agile, and efficient, providing ever-increasing capacity and reliability. Combined, these properties are challenging to achieve. Provisioning and monitoring optical channels require careful margin management, monitoring for soft failures, and advanced techniques to anticipate disruptions. Artificial intelligence and machine learning (AI/ML) are promising techniques that may provide substantial contributions to addressing these challenges.

Project description
This PhD project aims to harness the latest advances in AI/ML to address relevant challenges in optical network design and operation. The research must address different technological readiness levels, ranging from simulation to the development and integration of proof-of-concept demonstrations.The work will be carried out in collaboration with Telia AB, the largest network operator in the Nordics. The candidate will have the opportunity to work on applying cutting-edge AI/ML techniques to the following optical networking problems: optical network design, network flexibility and reliability, advanced monitoring, and failure management.
The candidate will also be able to interact with our national and international network of collaborators from academia and industry.
Information about the division and the unit
(CAOS) division conducts advanced research on various aspects of communication infrastructure.

(ON) group focuses on research in areas such as network automation, control and management, fiber access and mobile transport networks, network sustainability, reliability, security, and survivability, and converged fiber-wireless networks.

Major responsibilities
- Independently formulate research questions and develop strategies to solve them, within the scope of your project.
- Develop new AI/ML approaches for optimizing optical network design and operation, and integrate them into proof-of-concept demonstrators.
- Work collaboratively with other forward-thinking team members and external researchers from academia and industry.
- Communicate the results of your research (verbally and in writing) in high-impact journals and conferences.



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