RF Data Research Scientist

ECM Selection Limited
Cambridge, UK
3 days ago
Apply on www.ecmselection.co.uk
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£90,000.0
Working hours
Regular working hours

Tech stack

LTE (Telecommunication) Artificial Intelligence Data Analysis C++ (Programming Language) Python (Programming Language) MATLAB Machine Learning NumPy Radio-Frequency Identification SciPy Signal Processing Wi-Fi Technology
+3 more
Real Time Systems Pytorch Information Technology

Requirements

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 (NumPy, SciPy, 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.ecmselection.co.uk
Prepare application

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