At a Glance
- Tasks: Lead RF engineering projects and advance signal processing pipelines for defence applications.
- Company: Innovative AI start-up focused on national security and defence technology.
- Benefits: Join a dynamic team with opportunities for impactful work and career growth.
- Other info: Onsite role near Cambridgeshire and Essex, eligible for security clearance needed.
- Why this job: Make a real-world impact in defence tech while working with cutting-edge AI and RF technologies.
- Qualifications: PhD in electronics, physics, or computer science; expert Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Candidates should take the time to read all the elements of this job advert carefully. Please make your application promptly.
Work on complex RF signal data for defence and security applications. 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 to 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.
Senior RF Data Research Scientist in Draycott employer: ECM Selection
This defence company is an excellent employer, offering a dynamic work environment where talented electronics engineers can thrive. With a strong focus on employee growth through mentorship and project leadership opportunities, the company fosters a collaborative culture that values innovation in high-stakes projects. Located just north of Cheltenham, employees benefit from competitive remuneration packages, including regular salary reviews and a generous pension scheme, making it a rewarding place to build a meaningful career.
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We think you need these skills to ace Senior RF Data Research Scientist in Draycott
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ECM Selection. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
