Optimizing Optical Networks with Artificial Intelligence
2 weeks ago
Project Overview
The Chalmers tekniska högskola is seeking a highly motivated PhD researcher to contribute to the development of AI-driven optical network management solutions. This project aims to leverage the latest advances in artificial intelligence and machine learning to address complex challenges in optical network design and operation.
As a PhD researcher, you will work closely with our national and international network of collaborators from academia and industry to develop novel AI approaches for optimizing optical network design and operation. Your contributions will be integrated into proof-of-concept demonstrators and presented in high-impact journals and conferences.
Key Responsibilities:
- Formulate research questions and develop strategies to solve them within the scope of the project;
- Develop new AI/ML approaches for optimizing optical network design and operation;
- Collaborate with other researchers and external partners to advance the project;
- Communicate research results through publications and presentations.
About the Division:
The (CAOS) division conducts advanced research on various aspects of communication infrastructure. Our team focuses on research in areas such as network automation, control, and management, fiber access, mobile transport networks, network sustainability, reliability, security, and survivability, and converged fiber-wireless networks.
About the Group:
The (ON) group is a leading research group in the field of optical networking. We are dedicated to advancing the state-of-the-art in optical network design, operation, and management. Our research has a strong focus on practical applications and has led to numerous collaborations with industry partners.
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