INTERNSHIP DETAILS

Data Science Internship: Panoramic Tooth Mapping

CompanyPhilips
LocationEindhoven
Work ModeOn Site
PostedDecember 16, 2025
Internship Information
Core Responsibilities
The intern will conduct a review of image-based 3D reconstruction and develop a data strategy for input datasets. They will implement self-supervised methods, benchmark results, generate synthetic data, and document findings in a technical report.
Internship Type
full time
Salary Range
€500 - €700
Company Size
71519
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Over the past decade we have transformed into a focused leader in health technology. At Philips, our purpose is to improve people’s health and well-being through meaningful innovation. We aim to improve 2.5 billion lives per year by 2030, including 400 million in underserved communities. We see healthcare as a connected whole. Helping people to live healthily and prevent disease. Giving clinicians the tools they need to make a precision diagnosis and deliver personalized treatment. Aiding the patient's recovery at home in the community. All supported by a seamless flow of data. As a technology company, we – and our brand licensees – innovate for people with one consistent belief: there’s always a way to make life better. Visit our website: http://www.philips.com/ Follow our social media house rules https://www.philips.com/a-w/about-philips/social-media.html
About the Role
<h3>Job Title</h3>Data Science Internship: Panoramic Tooth Mapping<p style="text-align:inherit"></p><h3>Job Description</h3><p>6-9months assignment, 40h/a week,</p><p>allowance 500-700 Euro</p><p></p><p>Philips has a long history of successfully introducing innovative products to the market (lamps, CD players, medical imaging equipment, patient monitors, etc). Today, Philips is 100% health technology company with Data and AI being an integral part of Philips strategy.<br />This internship explores the reconstruction of panoramic 3D dental scenes from sparse intraoral images using self-supervised learning. By leveraging masked autoencoders and NeRF-inspired architectures, the goal is to learn implicit representations of the full oral cavity from limited visual input. These approach will enable the generation of simulations and synthetic data of cameras moving in the mouth, that, in turn can be exploited for improving and train other related AI models.</p><p><br /><b>Your role:</b></p><ul><li>Conduct a review of image-based 3d reconstruction, mapping and self-supervised methods.</li><li>Develop a data strategy on which input dataset to use or create</li><li>Implement various self-supervised and mapping methods</li><li>Benchmark the reconstruction and mapping results</li><li>Generate synthetic scanning path and data and evaluate its quality</li><li>Document the results in a technical report</li></ul><p><br /><b>You're the right fit if:</b></p><ul><li>Currently studying towards your Master WO (MSc.) in Data Science, Mathematics, Applied Mathematics, Computer Science, Physics, Electrical/Electronic/Biomedical engineering.</li><li>Experience with Python programming is essential.</li><li>Good knowledge of machine learning practices in PyTorch.</li><li>Passion for 2D/3D rendering and mapping</li><li>Experience with state-of-the-art AI models in computer vision.</li><li>Language: good written and spoken English.</li><li>Previous internship experiences is not necessary but a plus.</li><li>Good communication skills and enthusiasm to work in an international team.<br /> </li></ul><p><b>How we work together</b><br />We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.<br /><br /><b>About Philips</b><br />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. Do the work of your life to help the lives of others.<br />• Learn more about <a href="https://www.philips.com/a-w/about.html" target="_blank">our business</a>.<br />• Discover <a href="https://www.philips.com/a-w/about/our-history.html" target="_blank">our rich and exciting history</a>.<br />• Learn more about <a href="https://www.philips.com/a-w/about/environmental-social-governance/our-purpose" target="_blank">our purpose</a>.<br />If you’re 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. Learn more about our culture of impact with care <a href="https://www.careers.philips.com/global/en/our-culture" target="_blank">here</a>.</p><p>#LI-EU</p><p>#EOS</p>
Key Skills
Data SciencePython ProgrammingMachine LearningPyTorch2D Rendering3D RenderingComputer VisionSelf-Supervised LearningImage-Based 3D ReconstructionMappingTechnical DocumentationCommunication SkillsTeamworkMathematicsApplied MathematicsElectrical EngineeringBiomedical Engineering
Categories
TechnologyHealthcareData & AnalyticsScience & ResearchEngineering