Company: |
PHILIPS |
Job Role: |
Research Scientist, AI for Medical Imaging. |
Experience: |
Freshers (0-3 years). |
Vacancy: |
28+ |
Qualification: |
BE/B.Tech, ME/M.Tech, PhD or related skills. |
Salary: |
€154,988/year. |
Location: |
Suresnes - France. |
Join us on Telegram |
Click Here |
Apply Mode: |
(Online) |
Deadline: |
Not Mentioned |
About the Company:
Over 125 years ago, Frederik and Gerard Philips started a small light bulb company in Eindhoven. Little did they realize that it would become a global force of innovation, committed to improving billions of lives worldwide. But it did. Today, Philips is a world leading health technology company with a vision to make life better for people worldwide through meaningful innovation. Making good on this promise depends on our passionate, inspirational, collaborative and diverse team. We have over 80,000+ brilliant people around the world but we are always looking for more. Like-minded, motivated, focused minds to join us in creating a healthier, more connected society while transforming themselves personally and professionally.
Job Description
Philips is a global leader in health technology, committed to improving billions of lives worldwide and striving to make the world healthier and more sustainable through innovation. Driven by the vision of a better tomorrow.
In this role, you have the opportunity to
Investigate new technologies, apply them and create innovative solutions in areas like image guided therapy, precision diagnosis (CT, MR or ultrasound) or similar applications, based on your Artificial Intelligence (AI) and software creation/optimization capabilities.
You are responsible for
- Interacting with medical professionals to create meaningful innovations and IP
- Designing and implementing models and algorithms and conducting their validation
- Work with R&D teams in the Netherlands and USA to transfer software prototypes into commercial solutions that contribute to Philips growth
- Maintaining deep knowledge of technical developments in your field through study of the literature and contacts with the research community
You will be part of
Philips AI Hub Paris, a research team of around 40 scientists strongly connected to the healthcare innovation ecosystem in France (universities, start-ups, clinical sites, etc.). As part of the IGT and Ultrasound department of Philips Research, this team unites components, devices, systems and application specific algorithms and AI models to create clinically intelligent and intuitive imaging, sensing and navigation solutions for image guided therapy and diagnostic imaging (CT, MR and ultrasound).
To succeed in this role, you need
- PhD in Mathematics, Data Science, Image Processing or a comparable subject; – or Master’s degree and relevant experience
- Expertise in Deep Learning (CNN, RNN, GAN, etc.) in image-based applications
- Experience with machine learning platforms such as TensorFlow or PyTorch
- Analytical and abstract thinking to understand applications and technologies in depth;
- A pragmatic approach in doing fast and effective evaluations by creating prototypes;
- Excellent written and oral communication skills in English.
- Basic oral communication skills in French.
- And preferably you have experience with
- Conducting research for the industry
- Agile, Scrum or SAFe methodologies
- Healthcare applications or medical imaging technologies
- Conducting clinical studies in collaboration with medical professionals
Why should you join Philips?
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 2.5 billion lives a year by delivering innovative solutions across the
health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by
watching this video. To find out more about what it’s like working for Philips at a personal level, visit the
Working at Philips page on our career website, where you can read stories from our
employee blog. Once there, you can also learn about our
recruitment process, or find answers to some of the
frequently asked questions.
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How to Apply
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