Master's Thesis: Context and Memory for On-Device LLM Policy Selection

Founded in 1987, Huawei Technologies has grown into a global leader in telecommunications and network solutions, with innovation

at the core of everything we do. Huawei established its first overseas R&D office in Sweden in 2000, and since then, we’ve

expanded rapidly. Today, our R&D engineers are pushing boundaries in Stockholm, Gothenburg, and Lund, working on groundbreaking 6G

wireless systems that shape tomorrow’s technology.

Join us on our journey to develop the future of tech and be a part of a team that thrives on innovation, works hard to solve the

industry’s biggest challenges, and collaborates with top engineers worldwide. If you’re ready to contribute to world-changing

advancements, we want you on board!

IntentBridge investigates how an LLM agent on a mobile device can use current measurements and stored history to decide how the

device prioritises and paces its uplink traffic. The study explores which observations to retain from previous journeys,

application traffic patterns and earlier policy decisions, and how to select and present relevant history for each new decision.

The student will build an experimental environment in which real-time applications and background transfers share the device’s

uplink as it moves through changing radio conditions. Experiments will vary the context available to the agent and measure how its

policy choices affect timely delivery of real-time messages and background throughput.

• Background: Master’s student in Electrical Engineering, Computer Science, Telecommunications or a related field, with an

interest in AI, mobile networks and evaluating system behavior through simulation and data analysis.

• Desirable Experience: Programming experience in Python and familiarity with data analysis. Experience with LLMs or AI agents,

particularly in managing memory and context, is an advantage, as is familiarity with networking protocols or control systems.

Knowledge of C++ or simulation tools such as OMNeT++ or Simu5G is beneficial but not required.

Are you ready to apply your skills in a real-world setting and help us lead the charge in tech innovation? Join Huawei Sweden R&D,

and let’s make tech history together!