586913 Research Scientist – AI in Computed Tomography Image Formation (all genders)

Philips Deutschland GmbH; Hamburg; On-site; EUR 75,000 - 86,000; Full time

Benefits offered by this job

30 days leave

Germany ticket

Pension fund

Partner leave after birth

Discount on Philips products

Canteen meals

Job summary

Philips Deutschland GmbH is seeking a skilled AI/ML professional to push AI-based CT image formation, reconstruction and denoising. You will apply deep learning to CT image formation, high-resolution reconstruction, denoising and dose reduction to improve diagnostic confidence.

You will work on evaluating new technologies, collaborating with interdisciplinary teams, and providing expert guidance to translate results into clinically meaningful innovations.

Qualifications

• Master degree in AI, data science or informatics.
• Expertise in AI and data science, including deep learning.
• Programming experience, especially Python and C++.
• Experience with deep learning in medical imaging, CT preferred.
• Clinical understanding of medical imaging, CT.
• Ability to provide technical consultation across teams.
• Excellent communication and English; German a plus.

Responsibilities

• Develop, implement and validate AI-based CT image formation solutions (reconstruction and denoising).
• Apply AI and data science know-how to CT reconstruction, high-res, denoising, and dose reduction.
• Evaluate and implement new technologies within project roadmaps.
• Collaborate with interdisciplinary teams and transfer results into clinical innovation.

Skills

AI & data science

CNNs

NumPy

PyTorch

Data analytics

AI prototyping tools

Education

Master degree in AI, data science or informatics

Tools

Python

C++

Job description

In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.

You will contribute to AI-based clinical solutions focused on CT image quality, dose utilization, noise reduction and image reconstruction to increase diagnostic confidence and enable new clinical insights.

Your role:

• Develop, implement and validate innovative AI-based CT image formation solutions, including reconstruction and denoising of conventional, spectral and photon-counting CT data.
• Apply your know-how in AI and data science, especially deep learning, to CT image formation, high spatial and temporal resolution reconstruction, image denoising and dose reduction techniques.
• Contribute to the evaluation and implementation of new technologies and methods within defined project roadmaps.
• Collaborate with interdisciplinary teams as subject matter expert and provide technical guidance to transfer results into clinically meaningful innovation.

You should bring the following:

• Master degree in AI, data science or informatics.
• Expertise in AI and data science, CNNs, statistical and machine-learning libraries such as NumPy or PyTorch, data analytics and AI tools or agents for analysis and prototyping.
• Programming experience, especially Python and C++.
• Experience with deep learning, for example training convolutional neural networks, preferably in medical imaging and computed tomography.
• Clinical understanding of medical imaging, predominantly CT.
• Ability to provide technical consultation and subject-matter expertise to cross-functional teams and stakeholders.
• Excellent communication skills, including the ability to explain complex technical concepts, influence technical decisions and collaborate in global interdisciplinary R&D environments.
• Proficiency in English; German would be a plus.

The base salary range for this role is €75.336,00 – €85.744,64 and is governed by the applicable Collective Labour Agreement. The stated salary range reflects the salary progression within the relevant pay grade under the Collective Labour Agreement. New employees are generally hired at the entry level of the respective pay grade.

Benefits include:

• Annual leave: 30 days
• Mobility and devices: subsidized Germany ticket, leasing opportunities for private use (bicycles, cars, smartphones, ...)
• Philips University & Philips in Balance: wide range of professional training courses for personal development and healthcare
• Philips Pension Fund: employer-funded pension plan
• Philips Partnerzeit: two paid weeks off after your partner has given birth
• Philips MyShop: discount on Philips products
• Meals: free drinks and low prices in our canteen and Café Philistro
• Culture: informal culture, a paid day for voluntary work, various team and cultural activities, etc.

How We Work Together

We believe that we achieve better results when we work together rather than apart. For this role this means to be on-site at least 3 days a week.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. With patient safety and Quality as our fundamental premise, we focus on regulatory requirements and quality standards in our daily work. Do the work of your life to help the lives of others.

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