At a Glance
- Tasks: Lead innovative projects in applied RF work and advance signal processing pipelines.
- Company: Exciting AI start-up focused on military applications and drone technology.
- Benefits: Join a dynamic team with opportunities for impactful work and career growth.
- Other info: Fully onsite role near Cambridgeshire and Essex, ideal for tech enthusiasts.
- Why this job: Make a real-world impact with cutting-edge technology in a collaborative environment.
- Qualifications: PhD in electronics, physics, or computer science; strong Python and signal processing skills.
The predicted salary is between 60000 - 80000 £ 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.
- 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).
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 (27540) in Essex employer: ECM Selection
This innovative applied AI start-up offers a dynamic work environment where creativity and technical expertise thrive. Employees benefit from a collaborative culture that encourages professional growth through challenging projects in cutting-edge technology, particularly in military applications. Located near the Cambridgeshire and Essex border, the company provides a unique opportunity to contribute to impactful solutions while enjoying a supportive team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist Research Engineer (27540) in Essex
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at the company. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or relevant research, make sure to highlight them during interviews. We want to see your applied experience in action, especially with Python and digital signal processing.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of RF hardware and signal processing techniques. We recommend practising common interview questions and even doing mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist Research Engineer (27540) in Essex
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 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 relevant projects or achievements!
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 cool projects related to RF-ML or drone technologies, make sure to mention them. We’re keen on 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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at ECM Selection
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python libraries (NumPy, SciPy, PyTorch) and digital signal processing techniques. Brush up on your knowledge of RF hardware and SDR frameworks, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss any relevant projects or research you've worked on, especially those involving RF-ML or drone technologies. If you have publications or patents, be ready to highlight them as they can really make your application stand out.
✨Practice Problem-Solving
Expect to tackle some technical problems during the interview. Practise explaining your thought process clearly and concisely. This will demonstrate not only your technical skills but also your ability to communicate complex ideas effectively.
✨Be Ready for Hands-On Questions
Since the role involves engineering aspects, prepare for questions that may require you to think on your feet about using RF lab equipment. Familiarise yourself with common tools like spectrum analysers and signal generators, and be ready to discuss how you’ve used them in past experiences.
