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Open nowPosted 8 hours ago

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

Huawei Sweden R&D28 open roles

Where
Lund, Sweden
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Your applicationOpen nowMaster's Thesis: Context and Memory for On-Device LLM Policy SelectionHuawei Sweden R&D · Lund, Sweden

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Huawei Sweden R&D postings stay open a median of 32 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 8 hours ago

Huawei Sweden R&D median: 32 days open

The posting

About Huawei Sweden R&D

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!

About the Project: IntentBridge — Managing Uplink Traffic on a Mobile Device

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.

Timeline

Given our current project schedules, we are looking for master’s students available to start in spring 2027.

Qualifications & Skills

  • 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.
  • Communication: Strong command of English, both spoken and written.
  • Team & Independence: Capable of working effectively both in teams and independently.
  • Commitment to Quality: High attention to detail and dedication to producing high-quality work.
  • 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!

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