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- Tasks: Lead innovative RF signal processing projects and develop next-gen prototype technologies.
- Company: Exciting applied AI start-up focused on military applications and drone detection.
- Benefits: Join a dynamic team with opportunities for impactful work and career growth.
- Why this job: Make a real-world impact in defence technology while working with cutting-edge AI and ML.
- Qualifications: PhD in electronics, physics, or computer science; expert Python skills; experience in digital signal processing.
- Other info: Fully onsite role near Cambridgeshire; great chance to collaborate with like-minded innovators.
The predicted salary is between 43200 - 72000 £ per year.
This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications around drone detection and defence. Due to further projects, they are looking to recruit a Senior Data Scientist Research Engineer to take a leading role on their applied RF 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).
- Ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable.
- 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).
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 Data Scientist Research Engineer in Cambridge employer: ECM Selection
Contact Detail:
ECM Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist Research Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to RF signal processing or machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to Python, DSP, and RF hardware. Practice explaining your past projects and how they relate to the role. Confidence is key, so get comfortable talking about your expertise!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box in the job description, we encourage you to reach out. We might have other roles that fit your skills perfectly, and we’re here to help you land that dream job!
We think you need these skills to ace Senior Data Scientist Research Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Python, digital signal processing, and RF hardware. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applied AI and how your background makes you a perfect fit for our team. Let us know what excites you about the projects we’re working on.
Showcase Your Projects: If you’ve worked on any relevant projects, especially those involving RF-ML or drone technologies, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on joining our innovative team!
How to prepare for a job interview at ECM Selection
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python libraries like NumPy and PyTorch. Brush up on your digital signal processing knowledge and be ready to discuss how you've applied these skills in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done, particularly those involving RF signal characterisation or machine learning. If you have publications or patents, don’t hesitate to bring them up – they can really set you apart from other candidates.
✨Familiarise Yourself with RF Hardware
Since the role involves working with RF lab equipment, it’s a good idea to review your understanding of antennas, filters, and mixers. Be prepared to discuss how you’ve used this equipment in past roles or projects, as practical experience will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and its projects. Ask about their current challenges in RF signal processing or how they envision the future of their technology. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
