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- Tasks: Lead innovative RF projects and advance signal processing pipelines.
- Company: Exciting AI start-up focused on military applications and drone detection.
- Benefits: Join a dynamic team with real-world impact and growth opportunities.
- Why this job: Make a difference in defence technology while working with cutting-edge AI and ML.
- Qualifications: PhD in electronics, physics, or computer science; expert Python skills required.
- Other info: Fully onsite role near Cambridgeshire and Essex, with potential for similar opportunities.
The predicted salary is between 36000 - 60000 £ 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).
- Due to the engineering aspects of projects, the ability to confidently use RF lab equipment (spectrum analysers, signal generators) would be desirable.
- 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).
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or conferences, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions specific to data science and RF engineering. Practice explaining complex concepts in simple terms, as this will help you communicate effectively with both technical and non-technical interviewers.
✨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 find the right opportunity.
We think you need these skills to ace Senior Data Scientist Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with 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 relevant projects or publications!
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 RF technologies. We love seeing enthusiasm, so let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any interesting projects related to RF-ML or drone technologies, make sure to mention them. We’re keen to see your hands-on experience, especially if it involves prototyping or using RF lab equipment.
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 role. Don’t miss out on the chance to join 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 concepts and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've used RF hardware or SDR frameworks. If you have publications or patents, don’t shy away from mentioning them; they can really set you apart from other candidates.
✨Practice Problem-Solving
Expect technical questions that test your problem-solving skills. Practise explaining your thought process clearly and concisely, especially when it comes to complex topics like modulation or noise modelling.
✨Be Ready for Hands-On Questions
Since the role involves engineering aspects, be prepared for practical questions about using RF lab equipment. Familiarise yourself with common tools like spectrum analysers and signal generators, and think of examples where you've successfully used them.
