Ericsson is offering a Master Thesis opportunity focused on AI-based transmitters in Lund, Sweden. The project involves designing optimized transmitter functions for 6G wireless systems, leveraging machine learning to enhance performance while minimizing costs and complexity
Job Summary
This thesis investigates whether AI-native radio architectures can outperform legacy DSP-based solutions while meeting future 6G requirements.
The role involves designing optimized transmitter functions that jointly handle key radio impairments using novel ML architectures.
Candidates will build a hardware test setup to quantitatively evaluate AI versus legacy implementations in terms of latency, power consumption, and complexity.
Matching Summary
Match Score: 85
Ericsson is offering a Master Thesis opportunity focused on AI-based transmitters in Lund, Sweden. The project involves designing optimized transmitter functions for 6G wireless systems, leveraging machine learning to enhance performance while minimizing costs and complexity.
Skills & Requirements
Must-have
AI-based signal processing implementation
FPGA hardware platform development
Error Vector Magnitude optimization
Nice-to-have
Background in wireless communication systems
Interest in next-generation radio architectures
Experience with mixed-signal components
Key Requirements
Final-year MSc studies in electrical engineering or related field
Background in signal processing or radio preferred