Senior RF Data Research Scientist

Interested in national security and the defence sector? This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications and infrastructure security around drone detection.

They are looking to recruit a Senior Data Research Scientist to take a leading role on their applied RF engineering work and help advance their signal processing pipelines, and ultimately develop next generation prototype technologies.

You’re likely be a PhD holder in electronics, physics or computer science and have significant skills and experience in the following areas:

• Expert Python proficiency for data analysis and prototyping (Num Py, Sci Py, PyTorch).
• Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling).
• Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR).
• Understanding of RF hardware (antenna, filters, mixers) including baseband data.
• Experience analysing wireless protocols (Wi-Fi, LTE, LoRa).

Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable. Similarly, any exposure to embedded or real-time systems; MATLAB, C++ or Rust; or RF circuit fundamentals would be beneficial.

Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone / autonomous technologies.

Due to the nature of projects, the role would be fully onsite at offices based close to the Cambridgeshire and Essex border (commuting by car from Cambridge, Chelmsford, Royston, Bishop's Stortford is all possible). You must be eligible for security clearance (ideally previously obtained such status).

On offer is an excellent opportunity to join this start-up, work with like-minded people on interesting projects with real world applied impact.

Keywords: Defence, Data Science, Prototyping, RF, AI/ML, Python, Wireless Protocols, DSP, Engineering, Onsite