{
  "job_id": "ymCR0A0NuTXDuxj-AAAAAA==",
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  "job_title": "Senior RF Data Scientist / Research Engineer",
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  "job_country": "GB",
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  "job_location": "Puckeridge",
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  "employer_name": "Adria Solutions Ltd",
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  "job_posted_at": "3 days ago",
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  "job_description": "Senior RF Data Scientist / Research Engineer – Near Cambridge\n\nMy client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies.\n\nYou will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware–software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments.\n\nKey Responsibilities\n\nAnalysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features\n\nBuilding diagnostic RF analysis tools (time–frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.)\n\nDesigning RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter)\n\nModelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy\n\nDeveloping ML and statistical models for RF classification, anomaly detection, and emitter identification\n\nPrototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends\n\nLeading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters\n\nRequirements\n\nStrong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch)\n\nSolid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling)\n\nFamiliarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR\n\nPractical understanding of RF hardware chains (antenna → filters → mixers → ADC) and their impact on baseband data\n\nExperience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures\n\nComfortable debugging SDR setups and performing field-based RF data collection\n\nStrong communication skills and ability to work effectively within an iterative R&D team\n\nDesirable\n\nHands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators)\n\nExperience in passive radar, beamforming, TDoA, Doppler, or direction finding\n\nFamiliarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.)\n\nProgramming experience in MATLAB, C++, Rust, or similar languages\n\nKnowledge of RF circuit principles (impedance matching, filter design, gain budgeting)\n\nExperience designing or testing antenna arrays for sensing/detection\n\nPublications, patents, or open-source RF/ML contributions\n\nRole Details\n\nLocation: Cambridge area (onsite or hybrid depending on project needs)\n\nDepartment: Research & Prototyping Team\n\nImpact: Direct involvement in early-stage hardware–software product development\n\nInterested? Please Click Apply Now!\n\nSenior RF Data Scientist / Research Engineer – Near Cambridge",
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  "employer_website": "https://www.adriasolutions.co.uk",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773792000,
  "job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
}