Master Thesis: Energy Monitoring and Optimization in Cloud RAN

Join our Team

About this opportunity:

We are looking for a talented Master's student to conduct a research thesis on energy monitoring and optimization of Virtualized Network Functions in Cloud RAN environments.

This project combines cloud computing, telecommunications, and system design. It offers hands-on experience with testbed environments, prototyping, experimental evaluation, and the development of solutions that can contribute to future production systems.

What you will do:

Develop and validate a Cloud RAN system for energy monitoring and optimization.

Investigate how the information flow for energy monitoring and optimization can be improved.

Design, build, and test prototypes based on the proposed monitoring and optimization solutions.

Compare prototype results with data from Cloud RAN environments and use the findings to iterate on the designs.

Document the results in a structured Master's thesis, including recommendations for future development and production deployment.

Collaborate with our standardization team to assess technical feasibility and alignment with relevant standards.

The skills you bring:

You are enrolled in or recently admitted to a Master's programme in Computer Science, Telecommunication Engineering, or a related field.

You have a strong foundation in cloud computing and telecommunications architecture.

You have experience with, or a willingness to quickly learn, telecommunications standards.

You have basic knowledge of programming and API design.

You have experience with experimental testing and data analysis.

You have strong technical writing and communication skills.

You have a structured problem-solving mindset and attention to detail.

The following are considered a plus:

Previous experience with cloud and telecommunications projects.

Familiarity with prototyping or API implementation.

Experience with system design.

Programming skills in Python or Go.

Hands-on experience with cloud tools such as Docker and Kubernetes.

What we offer:

You will receive mentorship from experienced engineers, access to industry-standard tools, and the opportunity to contribute to a real product development cycle in an interdisciplinary research environment.