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- Tasks: Lead innovation in pixel reconstruction and improve image quality for next-gen devices.
- Company: Join a global leader in mobile imaging, redefining computational photography and sensor design.
- Benefits: Enjoy a permanent on-site role with opportunities for collaboration and professional growth.
- Why this job: Be at the forefront of imaging technology, making a real impact on consumer devices.
- Qualifications: Master’s or PhD with 10+ years in mobile imaging and strong algorithm expertise required.
- Other info: Work in a dynamic team that values creativity and technical excellence.
The predicted salary is between 43200 - 72000 £ per year.
An exciting opportunity with a world leading organisation who are pushing the boundaries in mobile imaging.
About the Company: Global leader in mobile imaging innovation, consistently pushing the limits of what’s possible in computational photography, ISP architecture, and sensor design. Their imaging team builds flagship-level systems that combine optical hardware, silicon-level engineering, and intelligent algorithms to deliver breakthrough visual performance.
Role Overview: We’re seeking a senior scientist to lead innovation in pixel reconstruction, working at the intersection of ISP pipelines, image sensor data, and embedded algorithm design. You’ll drive end-to-end image quality improvements and contribute to the evolution of high-performance imaging platforms for next-gen consumer devices.
Key Responsibilities:
- Design and propose pixel reconstruction algorithms to improve detail, reduce noise, and ensure temporal consistency.
- Define roadmap and strategy for ISP-level reconstruction techniques with attention to power, performance, and area trade-offs.
- Collaborate on hardware IP/SOC design, contributing to system-wide optimization.
- Benchmark algorithm prototypes and steer development based on real-world validation.
- Track and evaluate emerging techniques in image processing, denoising, HDR, and multi-frame fusion for embedded systems.
Requirements:
- Master’s or PhD with 10+ years of experience in mobile imaging.
- Strong understanding of imaging pipelines, including ISP architecture and camera module design.
- Hands-on knowledge of advanced pixel-level algorithms: denoising, HDR, super resolution, fusion, and multi-camera registration.
- Experience with simulation tools and interpreting visual system results.
- Strong communication and mentoring skills; able to work across disciplines and cultures.
- Comfortable leading technical investigations and solving image quality bottlenecks.
This is an on-site, permanent position.
Senior Scientist – ISP & Pixel Reconstruction employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientist – ISP & Pixel Reconstruction
✨Tip Number 1
Make sure to showcase your hands-on experience with advanced pixel-level algorithms during any discussions. Highlight specific projects where you've successfully implemented techniques like denoising or HDR, as this will demonstrate your practical knowledge and expertise.
✨Tip Number 2
Familiarise yourself with the latest trends in mobile imaging and computational photography. Being able to discuss emerging techniques in image processing and how they can be applied to improve pixel reconstruction will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with collaboration across disciplines. Since the role involves working with hardware IP/SOC design, being able to articulate how you've successfully collaborated with engineers and other scientists will be crucial.
✨Tip Number 4
Be ready to share examples of how you've led technical investigations in the past. Discussing specific challenges you've faced in image quality bottlenecks and how you resolved them will demonstrate your leadership skills and problem-solving abilities.
We think you need these skills to ace Senior Scientist – ISP & Pixel Reconstruction
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in mobile imaging, particularly focusing on pixel reconstruction and ISP architecture. Use specific examples from your past work that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for mobile imaging and detail how your background aligns with the company's goals. Mention specific projects or achievements that showcase your skills in algorithm design and image quality improvement.
Highlight Technical Skills: Clearly outline your technical skills related to advanced pixel-level algorithms, simulation tools, and image processing techniques. This will help the hiring team see your fit for the role at a glance.
Showcase Collaboration Experience: Since the role involves collaboration across disciplines, include examples of past teamwork experiences. Highlight any mentoring roles you've taken on, as well as your ability to communicate complex ideas effectively.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with pixel reconstruction algorithms and imaging pipelines in detail. Highlight specific projects where you've successfully implemented advanced techniques like denoising or HDR, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Prepare for Technical Questions
Expect in-depth technical questions related to ISP architecture and camera module design. Brush up on the latest trends and emerging techniques in image processing, as well as your understanding of power, performance, and area trade-offs in algorithm design.
✨Demonstrate Collaboration Skills
Since the role involves working across disciplines, be ready to share examples of how you've collaborated with hardware teams or contributed to system-wide optimisations. Emphasise your communication skills and ability to mentor others, as these are crucial for success in this position.
✨Discuss Real-World Applications
When discussing your past work, focus on how your contributions have led to tangible improvements in image quality or performance. Use metrics or benchmarks to illustrate your impact, as this will resonate well with the interviewers looking for evidence of your capabilities.
