Master Thesis: Resource Orchestration for Agentic AI Systems

Stack

Responsibilities

• ▹Study resource requirements and orchestration challenges in Agentic AI systems
• ▹Explore methods for resource monitoring, prediction and adaptive allocation
• ▹Develop and evaluate a prototype or simulation-based solution
• ▹Analyse trade-offs related to performance, resource efficiency and scalability
• ▹Document the findings and identify opportunities for future development

Requirements

• ▹Master's student in Computer Science, Telecommunication Engineering or a related field
• ▹Good understanding of cloud or edge computing, distributed systems or AI systems
• ▹Programming experience, preferably in Python, Rust or Go
• ▹Interest in experimental evaluation and data analysis
• ▹Good technical writing and communication skills

Nice to have

• ▹Artificial intelligence and large language models
• ▹Kubernetes and cloud platforms
• ▹Computer networking
• ▹Resource optimisation and adaptive systems

Soft skills

What we offer

• ▹Mentorship from experienced researchers and engineers
• ▹Access to relevant tools and experimental environments

About the company

Ericsson is a team of diverse innovators and an equal opportunity employer that welcomes applicants from all backgrounds.