Master's Thesis: From Tokens to Actions: System-One Decision Models for Low-Latency Wireless Control

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!

This thesis evaluates System-One models — probabilistic, decision-native models that map an observed network state and a typed

query directly to a calibrated distribution over a bounded action set, replacing token-by-token LLM generation — as the execution

engine for the fast decision path of an agentic cellular modem.

• To implement and evaluate system-one model calibration pipeline for those tasks using open wireless datasets or simulated

state-action traces.

• Background: Master's student in Artificial Intelligence, Machine Learning, Computer Science, Software Engineering, or a related

engineering field, with a strong interest in agentic AI system.

• Desirable Experience: Programming experience in Python. Knowledge of large language models (LLMs), AI agent frameworks, prompt

engineering, or reinforcement learning is an advantage.

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!