Research Scientist - RF Machine Learning
Tasks
- Analyze RF signals wireless protocol behavior modulation characteristics channel effects interference noise system performance
- Apply digital signal processing and RF domain knowledge for model training testing validation
- Communicate research findings technical approaches experiment results prototype capabilities
- Design data collection labeling preprocessing feature extraction training evaluation workflows
- Develop and evaluate models using PyTorch TensorFlow Keras scikit-learn JAX
- Develop software prototypes using Python C C++ MATLAB GNU Radio
- Integrate RF machine learning capabilities into research prototypes testbeds operational systems
- Lead design development prototyping evaluation of RF machine learning algorithms
- Work with RF datasets IQ data SDR platforms lab or field collected spectrum data
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | C# | C++ | Digital Signal | Digital Signal Processing | Emitter Identification | GNU Radio | IQ Data | JAX | Keras | Linux | MATLAB | Modulation Recognition | NumPy | Pandas | PyTorch | Python | SDR | SciPy | Scikit-learn | Signal Classification | Signal Detection | Signal Processing | Spectrum sensing | TensorFlow | U S R P | UHD | USRP | Wireless Communications
Education
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