Master Thesis: AI Agent Workflow for Network Simulation

Join our Team

About this opportunity:

Network simulations support planning, performance evaluation, and algorithm development, but configuring them can require detailed knowledge of simulator parameters, dependencies, and execution procedures. This thesis will explore how local large language models (LLMs) and collaborating AI agents can make simulation workflows easier to use and automate.

You will develop a proof of concept that turns natural-language descriptions of network scenarios and study objectives into validated configurations for a Python-based radio simulator. The project will be carried out with Ericsson’s BNEW network simulations team in collaboration with a university, alongside engineers and researchers in radio networks, simulation, and AI/ML.

What you will do:

- Study the Python-based simulator, its parameters, dependencies, interfaces, and execution process.
- Design a multi-agent workflow for interpreting user requirements, planning scenarios, generating and validating configurations, running simulations, and analyzing results.
- Build a proof of concept that lets users create and modify simulation scenarios using natural language.
- Explore a closed-loop process where agents use results or execution errors to refine configurations and rerun simulations when appropriate.
- Evaluate correctness, success rate, error recovery, alignment with user intent, execution time, computational requirements, and human involvement.
- Where feasible, compare the multi-agent approach with a single-LLM baseline and identify tasks that still require human expertise.

The skills you bring:

- You are pursuing an MSc in Wireless Networks, computer science, machine learning or related field.
- You have a strong background in Python.
- You are interested in AI/ML, LLMs, AI agents, and workflow automation; prior experience is beneficial.
- You are curious about both the capabilities of AI and where human oversight remains important.
- You can work independently and collaboratively, conduct technical studies, and communicate results clearly in spoken and written English.
- You are proactive, analytical, and comfortable preparing a thesis proposal, report, and presentation.

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:  792805