Senior Research Scientist - Network Systems
Peraton · Basking Ridge, NJ, US
About this role
## Senior Research Scientist - Network Systems ### Peraton Overview Peraton is a next-generation national security company delivering trusted solutions across land, sea, space, air, and cyberspace. Peraton Labs supports government agencies, utilities, and commercial customers with cybersecurity and network research that protects mission-critical systems and national cyber infrastructure. ### Responsibilities - Develop innovative solutions and revolutionary capabilities for complex government and commercial challenges - Conduct research across areas including: - Networking and wireless research (e.g., 5G and non-terrestrial networks) - Cybersecurity (e.g., formal methods, side-channel analysis, high-fidelity emulation of cyber-physical systems) - Resilient networking aligned to cyber mission goals - Software-defined networking for cyber defense and deception - AI/ML and deterministic/stochastic optimization ### Required Qualifications **RF Communications & Signal Processing** - Strong foundation in RF communications theory (modulation/demodulation, propagation, link budgets, spectrum analysis) - Hands-on DSP experience (filtering, FFT/spectral analysis, detection, estimation, adaptive algorithms) - Expertise in compressive sensing (sparse signal recovery, L1/L2 optimization, sensing matrix design, sub-Nyquist sampling) **Machine Learning & Data Applications** - Ability to design and implement ML algorithms for signal/time-series data (supervised, unsupervised, deep learning, reinforcement learning) - Experience building end-to-end ML pipelines (ingestion, preprocessing, feature engineering, training, validation, deployment, monitoring) - Knowledge of ML architectures (CNNs, RNNs/LSTMs, transformers, autoencoders, GANs) and selecting appropriate models for RF/signal problems - Strong data analytics skills (exploratory analysis, statistical modeling, visualization, actionable insights) - Hands-on with tools/frameworks such as PyTorch, TensorFlow/Keras, scikit-learn, NumPy, pandas, and Spark - MLOps experience (version control, Docker, CI/CD, experiment tracking such as MLflow/W&B, and model serving) **Programming & Tools** - Strong programming skills in Python and C/C++ (MATLAB is a plus) - Git and Linux development environment - Scripting proficiency **Education & Experience / Citizenship** - BS in EE/CE/CS/Applied Math or related field, plus: - 12+ years experience (BS) - 10+ years experience (MS/MA) - 7+ years experience (PhD) - Demonstrated project or publication record across both RF/signal processing and ML - US Citizenship required ### Preferred / Nice-to-Have - Experience applying ML to RF problems (signal classification, spectrum sensing, RFI mitigation, cognitive radio, direction finding, emitter identification) - Background in DoD/IC programs, EW, SIGINT, or radar systems - Active security clearance (or ability to obtain one) ### Soft Skills - Clear technical communication (translate algorithms to implementation/results; write technical papers and reports) - Self-directed; experience taking prototypes from concept through demonstration ### Target Salary Range **$146,000 – $234,000** (typical range; final offer depends on factors including scope, experience, education, location, and contract/business considerations). Eligibility for overtime, shift differential, and discretionary bonus may apply. ### Benefits Medical, dental, vision, life, health savings account, short/long-term disability, EAP, parental
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