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PhD Graduate - Radar, Machine Learning, Signal Processing, Data - Johns Hopkins University Applied Physics Laboratory
Data Scientist
PhD graduate with expertise in radar, RF engineering, and machine learning to develop advanced sensor technologies for national security. Focus on signal processing, data science, and cutting‑edge RF research.
About the role
Key Responsibilities
- Conduct research on advanced RF propagation and radar signal processing to support naval and DoW missions.
- Develop and implement machine learning algorithms for target detection, classification, and anomaly analysis.
- Collaborate with multidisciplinary teams to integrate sensor data into actionable intelligence.
- Publish findings in peer‑reviewed journals and present at technical conferences.
- Mentor junior researchers and contribute to technology roadmaps for future sensor systems.
Requirements
- PhD in Electrical Engineering, Electrical and Computer Engineering, Physics, or related STEM field.
- Strong background in RF engineering, radar systems, and digital signal processing.
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and data science tools.
- Experience with programming languages such as Python and MATLAB.
- Excellent communication skills and ability to work in a collaborative research environment.