Conduct research on resource monitoring, prediction, and adaptive orchestration for Agentic AI systems across cloud and edge environments. Develop and evaluate a prototype or simulation, analyze performance and scalability trade-offs, and document findings. The role involves distributed systems, AI infrastructure, experimental evaluation, and technical research under mentorship.
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About this opportunity:
We are looking for a motivated Master's student to conduct a research thesis on resource management and orchestration for Agentic AI systems.
Agentic AI applications may dynamically interact with models, tools, and external services, resulting in changing and difficult-to-predict requirements for computing resources, communication, and latency. This thesis will explore approaches for monitoring, predicting, and managing these resources across cloud and edge environments.
The project offers the opportunity to work at the intersection of Agentic AI, cloud-edge computing, distributed systems, and intelligent resource orchestration. You will receive mentorship from experienced researchers and engineers, access to relevant tools and experimental environments, and the opportunity to contribute to an emerging research area.
What you will do:
The skills you bring:
The following experience or interests are considered a plus:
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791037
About this opportunity:
We are looking for a motivated Master's student to conduct a research thesis on resource management and orchestration for Agentic AI systems.
Agentic AI applications may dynamically interact with models, tools, and external services, resulting in changing and difficult-to-predict requirements for computing resources, communication, and latency. This thesis will explore approaches for monitoring, predicting, and managing these resources across cloud and edge environments.
The project offers the opportunity to work at the intersection of Agentic AI, cloud-edge computing, distributed systems, and intelligent resource orchestration. You will receive mentorship from experienced researchers and engineers, access to relevant tools and experimental environments, and the opportunity to contribute to an emerging research area.
What you will do:
- 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.
The skills you bring:
- You are a Master's student in Computer Science, Telecommunication Engineering, or a related field.
- You have a good understanding of cloud or edge computing, distributed systems, or AI systems.
- You have programming experience, preferably in Python, Rust, or Go.
- You are interested in experimental evaluation and data analysis.
- You have good technical writing and communication skills.
The following experience or interests are considered a plus:
- Artificial intelligence and large language models.
- Kubernetes and cloud platforms.
- Computer networking.
- Resource optimisation and adaptive systems.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791037
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