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Signal Processing & Algorithm Application Engineer Intern
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- With the increasing demand for wireless communication, machine learning is being leveraged to improve spectrum sensing and management in radio frequency (RF) environments.
- This internship will focus on creating a spectrum analysis tool based on signal processing techniques combined with machine learning models to enhance the efficiency of spectrum usage.
- Contribute technical expertise and work closely with the Signal Processing and RF team to support the development of a robust RF simulation tool that can ingest, process, and export data with the analysis of a machine learning framework (e.g., Reinforcement Learning module).
- Proficient in Python, docker, and MATLAB. Simulink is a plus.
- Understanding of basic machine learning, deep learning, circuit theory, electromagnetics, and signal processing.
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