At a Glance
- Tasks: Research and develop innovative techniques in RF signals using AI and sensor data.
- Company: Leading research organisation based in central London with a focus on cutting-edge technology.
- Benefits: Hybrid work options, competitive salary, and opportunities for professional growth.
- Other info: Open to diverse backgrounds; excellent career development opportunities await.
- Why this job: Make a real impact in the exciting field of RF signals and AI.
- Qualifications: PhD or equivalent experience in physics, electronics, or software engineering; Python skills required.
The predicted salary is between 45000 - 55000 £ per year.
This research position has a three year term, working with sensor data in the RF signals domain, surveying, developing and applying modern techniques, including the use of AI.
The recognition, identification, localisation and manipulation of relevant signals are topics of interest.
You will have: A Ph D, or equivalent commercial experience, in a field making good use of techniques from physics, electronics, statistics, numerical methods or software engineering.
British nationality and eligibility for UK security clearance.
Either practical experience applying machine learning to real-world problems, or experience developing relevant algorithms in RF signals – or a combination.
If you do not have RF signals experience, your CV will show experience developing novel algorithms in a related area of signal processing (communications, network traffic analysis or threat detection, instrumentation operating in the RF domain, etc.)Fluent Python or equivalent programming language skills, and a sound approach to making reliable software proofs of concept, version control, issue tracking, automated testing, etc.
Familiarity with producing journal-quality papers, collaborating with stakeholders, and presenting your work.
Some opportunities for hybrid work are likely, alongside time spent at the organisation’s central London research offices.
Please note: even if you don’t have exactly the background indicated, do contact us now if this type of job is of interest – we may well have similar opportunities that you would be suited to.
And of course, we always get your permission before submitting your CV to a company.
RF Data Scientist / Researcher in London employer: ECM Selection
This diagnostics company, located on the picturesque borders of Essex and Cambridgeshire, is an exceptional employer for those passionate about making a meaningful impact in public health. With a strong focus on employee growth and development, they offer a collaborative work culture where innovation thrives, and team members are encouraged to adapt and learn new skills. The opportunity to be a founding member of the software team, combined with a competitive salary and the chance to work in a serene countryside setting, makes this role particularly attractive for aspiring Medical Device Software Engineers.
StudySmarter Expert Advice🤫
We think this is how you could land RF Data Scientist / Researcher in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like ECM Selection before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like ECM Selection.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like ECM Selection.
We think you need these skills to ace RF Data Scientist / Researcher in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ECM Selection, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ECM Selection, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ECM Selection’s attention and show the tangible impact of your work.
How to prepare for a job interview at ECM Selection
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ECM Selection.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ECM Selection.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ECM Selection.
