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.