In this role, you will work in the field of systems and physics of computed tomography to help address unmet clinical needs in precision diagnosis.
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In this role, you will work in the field of systems and physics of computed tomography to help address unmet clinical needs in precision diagnosis. You will contribute to clinical CT systems and solutions focused on image quality, spectral results, radiation dose reduction and image reconstruction to increase diagnostic confidence and enable new clinical insights.
: - Develop, implement and validate innovative technologies for processing and calibration of non-spectral, spectral and photon-counting x-ray detectors in medical CT. - Apply your know-how in x-ray physics, solid-state physics, medical imaging, algorithm development, advanced signal processing and AI to modern computed tomography. - Develop and drive your own ideas for technological advances in CT and adjacent domains. - Collaborate in interdisciplinary projects with business partners and clinical partners to transfer research results into clinically meaningful innovation. You should bring the following: - Master degree in physics, electrical engineering or data science/AI. - Expertise in medical imaging physics, including generation, interaction with matter and detection of x-rays, with in-depth knowledge of computed tomography. - Technical and clinical understanding of medical imaging, predominantly CT. - Proficiency in modern programming, especially C/C++ and Python, including data science and AI tooling such as NumPy or PyTorch. - Familiarity with deep learning, for example training neural networks, is an asset. - 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. Doing meaningful work should come with fair, transparent rewards. 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.
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. - Learn more about our business. - Discover our rich and exciting history. - Learn more about our purpose. If you are interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips.
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Job Title Research Scientist – Physics of Computed Tomography (all genders)
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.