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- Tasks: Lead innovative research applying AI to real-world signals and sensor fusion.
- Company: Leading research institution focused on cutting-edge technology.
- Benefits: Competitive salary, strong pension, extra holidays, and professional development opportunities.
- Why this job: Make a real impact in defence and national security while advancing your career.
- Qualifications: PhD in relevant field with experience in data science and signal processing.
- Other info: Hybrid working available; great public transport access.
The predicted salary is between 50000 - 70000 £ per year.
R&D applying AI and algorithms to real-world signals/comms, sensor fusion. This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience, you will bring your prior experience in signal processing to bear. You'll be helping to establish and further the state of the art, with a view to paving the way for future technology adoption and new applications. This work does involve collaboration with defence and national security stakeholders. Sole British nationality is required, as is the ability to gain security clearance (with institutional support). The work will focus on radio frequency communications (RF, EME) and the application of state-of-the-art AI techniques. You do not need RF or AI experience (though these are advantageous). You will have the aptitude and interest, and prior experience developing techniques and algorithms for working with analogue signals.
Specifically, you will have:
- A PhD in physics, maths, engineering or a similar field
- Additional experience in research or commercial R&D (including a leading/mentoring role in some capacity, either for a small team, research project, or supervising PhDs, etc.)
- Expertise in data science, analogue signal processing techniques, and algorithm development (whether with RF, radar, wireless comms, audio, SDR or medical devices, etc.), ideally including sensor fusion techniques
- Good Python or equivalent coding skills, happy to contribute to a codebase
- Good technical communication skills and the ability to lead meetings, talks and briefings
- A track record of publication including journal-quality results, employing analysis and visualisation of data
- An interest in mentoring and assisting junior researchers
The role comes with opportunities for collaborative research into a range of new areas, learning and applying new techniques whilst building your reputation through contributions and publications. As well as a competitive salary, good benefits are on offer including a strong pension, additional holidays, and professional development. Offices are easy to reach via public transport, and hybrid working is available.
Senior Research Scientist in London employer: ECM Selection (Holdings) Limited
Contact Detail:
ECM Selection (Holdings) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist in London
✨Network Like a Pro
Get out there and connect with people in your field! Attend conferences, workshops, or even local meetups. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects and experiences that relate to AI, algorithms, and signal processing. We want to see your passion and expertise shine through!
✨Prepare for Interviews
Do your homework before interviews! Research the institution and their current projects, especially in R&D and defence. We recommend preparing some thoughtful questions to show your genuine interest and understanding of their work.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always here to help you navigate the process and answer any questions you might have.
We think you need these skills to ace Senior Research Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and any relevant experience in signal processing or data science. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this position and how your previous work has prepared you for the challenges ahead. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Publications: If you've got a track record of publications, make sure to mention them! Highlighting your journal-quality results will demonstrate your expertise and commitment to advancing the field, which is something we really value.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at ECM Selection (Holdings) Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, algorithms, and signal processing. Even if you don't have direct experience with RF or AI, understanding the basics will help you engage in meaningful conversations during the interview.
✨Showcase Your Experience
Prepare to discuss your previous research or commercial R&D experiences in detail. Highlight any leading or mentoring roles you've had, as this will demonstrate your capability to guide others and contribute to a team environment.
✨Communicate Clearly
Since good technical communication skills are essential for this role, practice explaining complex concepts in simple terms. This will not only show your expertise but also your ability to lead meetings and briefings effectively.
✨Be Ready to Collaborate
Given the collaborative nature of the role, think about examples where you've worked with others, especially in interdisciplinary teams. Be prepared to discuss how you can contribute to collaborative research and support junior researchers.