6 days ago
Stockholm, SwedenIntern
Responsibilities
- Analyze laboratory resource topologies and test-channel architectures.
- Investigate automated equipment discovery, matching, and allocation.
- Design scheduling, booking, and capacity-management algorithms.
- Explore AI-driven resource utilization and reservation optimization.
- Study fairness, prioritization, and conflict resolution.
- Contribute to cloud-native orchestration and provisioning services.
- Investigate RF-domain modelling and provisioning.
- 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, and systematic working style with the ability to work independently and in teams.
- Knowledge of distributed systems and microservice architectures is a plus.
- Experience with FastAPI, Pydantic, and REST APIs is beneficial.
- Familiarity with MongoDB and database technologies is an advantage.
- Knowledge of CI/CD and Jenkins is appreciated.
- Familiarity with Docker, Helm, and Kubernetes is a plus.
- Experience with Git and modern software development practices is advantageous.
Benefits
- Opportunity to work on Ericsson’s strategic Lab as a Service cloud-native platform.
- Thesis suitable for two students.
- Location: Stockholm, Sweden.
Tech Stack
Categories
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.