onsite
RF Data Scientist / Researcher - ECM Selection Limited
Data Scientist
Conduct cutting‑edge research on RF sensor data, applying AI and statistical methods to recognize, identify, localise and manipulate radio frequency signals.
About the role
Key Responsibilities
- Design and implement AI‑driven algorithms for detection, classification and localisation of RF signals.
- Develop signal‑processing pipelines using numerical methods and statistical modelling.
- Evaluate and benchmark modern machine‑learning techniques on real‑world RF sensor datasets.
- Collaborate with hardware and electronics teams to integrate software solutions with RF measurement systems.
- Publish research findings and contribute to technical reports and patents.
Requirements
- PhD or equivalent experience in physics, electronics, statistics, or a related quantitative field.
- Strong programming skills in Python and experience with machine‑learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of signal processing, RF fundamentals, and statistical analysis.
- Proven ability to develop and apply deep‑learning models to complex sensor data.
- Excellent problem‑solving skills and ability to work independently in a research‑focused environment.
Skills
pythonmachine learningdeep learning