2 days ago
Stockholm, SwedenEntry Level
Responsibilities
- Analyze laboratory resource topologies and test-channel architectures.
- Investigate automated equipment discovery, matching, and allocation.
- Design scheduling, booking, capacity-management, and resource-optimization algorithms.
- Study fairness, prioritization, and conflict resolution for resource reservations.
- Contribute to cloud-native orchestration and provisioning services, including RF-domain modelling.
- Prototype, benchmark, and validate proposed solutions.
Requirements
- Pursuing a Master’s degree in Computer Science.
- Solid experience with Python.
- Strong understanding of AI, ML, and cloud-native architecture.
- Analytical, structured, systematic, and able to work independently or in a team.
- Knowledge of distributed systems and microservice architectures is a plus.
- Experience with FastAPI, Pydantic, REST APIs, MongoDB, database technologies, Jenkins, Docker, Helm, Kubernetes, and Git is beneficial or advantageous.
Benefits
- Thesis opportunity at Ericsson in Stockholm, Sweden.
- Suitable for two students.
About Ericsson
Ericsson is a publicly traded telecommunications vendor that builds mobile network infrastructure (RAN, core, OSS/BSS), cloud platforms, and managed services for communications providers and enterprises. Founded in 1876 and headquartered in Kista, Stockholm, it supplies 5G systems to operators worldwide and owns Vonage, expanding network APIs and enterprise communications offerings.