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- Tasks: Analyse signals, develop filters, and optimise algorithms for real-time monitoring systems.
- Company: Join a cutting-edge company in the water industry, focused on innovative technology.
- Benefits: Enjoy hybrid working options and competitive pay of up to £50 p/h.
- Why this job: Work at the intersection of signal processing and AI, making a real-world impact.
- Qualifications: Experience in signal processing and algorithm development is essential.
- Other info: Remote interviews are happening soon; be part of a dynamic team!
Location: Widnes (Hybrid working)
Rate: Up to £50 p/h
Yoh are continuing to service a scaling client of ours based in Widnes who are looking to employ a Signal Processing Engineer or Algorithms Developer to work on multiple work packages within the business. Our client has their own proprietary software working within real-time monitoring systems in the water and wastewater industry. They have a hardware function as well as a data science/AI department where this position will sit, working with the large amounts of data collected.
They are located in Widnes, on the outskirts of Liverpool, and are looking for hybrid and remote working, but with some office attendance required, mainly to work with the hardware and Edge computers.
Some of the requirements and responsibilities within the position include:
- Analyse real-world signals to understand their characteristics
- Develop filters (e.g., FIR, IIR), transforms (e.g., FFT), and modulation/demodulation schemes for optimising algorithms
- Work on noise reduction, compression, filtering, and wavelets
They are looking to hold remote interviews in the coming days/week with work packages signed off and ready to be handed over. Additionally, there is a wider scope to work alongside the AI and data science team to help in the development of their state-of-the-art machine learning models.
Signal Processing Engineer employer: Yoh, A Day & Zimmermann Company
Contact Detail:
Yoh, A Day & Zimmermann Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Signal Processing Engineer
✨Tip Number 1
Familiarise yourself with the specific signal processing techniques mentioned in the job description, such as FIR and IIR filters, FFT transforms, and noise reduction methods. Being able to discuss these topics confidently during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Research the company’s proprietary software and its applications in real-time monitoring systems. Understanding how your skills can contribute to their projects will help you articulate your value during discussions with the hiring team.
✨Tip Number 3
Prepare to discuss your experience with data science and AI, especially in relation to machine learning models. Highlight any relevant projects or collaborations that showcase your ability to work alongside technical teams, as this is a key aspect of the role.
✨Tip Number 4
Since the position involves hybrid working, be ready to address your flexibility and willingness to attend the office when necessary. Emphasising your adaptability and teamwork skills will resonate well with the hiring managers.
We think you need these skills to ace Signal Processing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in signal processing and algorithms development. Include specific projects or roles where you've worked with filters, transforms, or noise reduction techniques.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in real-time monitoring systems and collaboration with AI and data science teams.
Showcase Technical Skills: Clearly outline your technical skills related to signal processing, such as familiarity with FIR/IIR filters, FFT, and machine learning. Use examples to demonstrate your proficiency and problem-solving abilities.
Prepare for Interviews: Anticipate questions about your experience with algorithms and signal analysis. Be ready to discuss specific challenges you've faced and how you approached them, especially in relation to noise reduction and data optimisation.
How to prepare for a job interview at Yoh, A Day & Zimmermann Company
✨Understand the Basics of Signal Processing
Make sure you have a solid grasp of fundamental concepts in signal processing, such as FIR and IIR filters, FFT, and modulation techniques. Be prepared to discuss how you've applied these concepts in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in signal analysis or algorithm development. Highlight your approach to noise reduction and data optimisation, as these are key aspects of the role.
✨Familiarise Yourself with Their Software and Hardware
Research the proprietary software and hardware used by the company. Understanding their real-time monitoring systems will demonstrate your interest and help you engage more effectively during the interview.
✨Emphasise Collaboration with AI and Data Science Teams
Since the role involves working alongside AI and data science teams, be ready to discuss any experience you have in interdisciplinary collaboration. Show enthusiasm for contributing to machine learning model development.
