Master Thesis: Lab Resource Orchestration and Platform Engineering

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About this opportunity:

Lab as a Service (LaaS) is a strategic cloud-native platform within Ericsson, designed to provide a scalable, automated, and self-service way of managing test environments across R&D.

What you will do:

- Analyze laboratory resource topologies and test-channel architectures.
- Investigate automated equipment discovery, matching and allocation.
- Design intelligent 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 solutions.

The skills you bring:

- You are pursuing a Master's degree in Computer Science.
- You have a solid experience of Python programming language.
- You have a strong understanding of AI, ML, Cloud-native architecture.
- You are analytical, structured, systematic and able to work in team or independently.
- 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. 
- This thesis is suitable for 2 students.