About the role#
This master's thesis project focuses on improving data collection for machine learning by using a simulated environment with Hardware in the Loop (HIL). You will work on extending our internal HIL environment from Link Level to System Level. This allows for the capture of behaviors like mobility between cells directly in-house. The resulting system level simulation environment will integrate with simulated and emulated mobile phone usage.
What you'll do#
- Extend the internal HIL environment from Link Level to System Level.
- Enable in-house capture of behaviors such as cell-to-cell mobility.
- Integrate the simulation environment with broader systems including emulated mobile devices.
What you'll need#
- Enrollment as a master's student in Electrical Engineering.
- Strong command of spoken and written English.
- Ability to work effectively both in teams and independently.
- High attention to detail and a commitment to high-quality work.
- Experience in software development is preferred.
- Knowledge of wireless communication and networks is a plus.
- Experience with data collection for machine learning training is beneficial.
Location & details#
- Locations: Stockholm, Gothenburg, or Lund.
- Term: Spring 2027.
- Work modality: On-site.
- Employment type: Full-time.
- This position is paid.
About Huawei Sweden R&D
Huawei Sweden R&D operates within the technology, information, and media sector. The organization functions as a public company. It maintains a workforce of between 201 and 500 employees. The Swedish branch focuses on research and development activities.
How to get in at Huawei Sweden R&D
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