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Data Science Internship: Panoramic Tooth Mapping

Philips

Data Science Internship: Panoramic Tooth Mapping

full-timePosted: Jan 13, 2026

Job Description

Job Title

Data Science Internship: Panoramic Tooth Mapping

Job Description

6-9months assignment, 40h/a week,

allowance 500-700 Euro

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.
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.


Your role:

  • Conduct a review of image-based 3d reconstruction, mapping and self-supervised methods.
  • Develop a data strategy on which input dataset to use or create
  • Implement various self-supervised and mapping methods
  • Benchmark the reconstruction and mapping results
  • Generate synthetic scanning path and data and evaluate its quality
  • Document the results in a technical report


You're the right fit if:

  • Currently studying towards your Master WO (MSc.) in Data Science, Mathematics, Applied Mathematics, Computer Science, Physics, Electrical/Electronic/Biomedical engineering.
  • Experience with Python programming is essential.
  • Good knowledge of machine learning practices in PyTorch.
  • Passion for 2D/3D rendering and mapping
  • Experience with state-of-the-art AI models in computer vision.
  • Language: good written and spoken English.
  • Previous internship experiences is not necessary but a plus.
  • Good communication skills and enthusiasm to work in an international team.
     

How we work together
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.

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. 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’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 here.

#LI-EU

#EOS

Locations

  • Eindhoven, Noord-Brabant, Netherlands

Salary

Estimated Salary Rangemedium confidence

25,000 - 45,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Experience with Python programmingintermediate
  • Good knowledge of machine learning practices in PyTorchintermediate
  • Passion for 2D/3D rendering and mappingintermediate
  • Experience with state-of-the-art AI models in computer visionintermediate
  • Good communication skillsintermediate
  • Enthusiasm to work in an international teamintermediate

Required Qualifications

  • Currently studying towards Master WO (MSc.) in Data Science, Mathematics, Applied Mathematics, Computer Science, Physics, Electrical/Electronic/Biomedical engineering (experience)
  • Good written and spoken English (experience)
  • Previous internship experiences is not necessary but a plus (experience)

Responsibilities

  • Conduct a review of image-based 3d reconstruction, mapping and self-supervised methods
  • Develop a data strategy on which input dataset to use or create
  • Implement various self-supervised and mapping methods
  • Benchmark the reconstruction and mapping results
  • Generate synthetic scanning path and data and evaluate its quality
  • Document the results in a technical report

Benefits

  • general: 6-9 months assignment
  • general: 40h/a week
  • general: allowance 500-700 Euro

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Tags & Categories

Experience with Python programmingGood knowledge of machine learning practices in PyTorchPassion for 2D/3D rendering and mappingExperience with state-of-the-art AI models in computer visionGood communication skillsEnthusiasm to work in an international teamHealthcare Technology
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Philips logo

Data Science Internship: Panoramic Tooth Mapping

Philips

Data Science Internship: Panoramic Tooth Mapping

full-timePosted: Jan 13, 2026

Job Description

Job Title

Data Science Internship: Panoramic Tooth Mapping

Job Description

6-9months assignment, 40h/a week,

allowance 500-700 Euro

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.
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.


Your role:

  • Conduct a review of image-based 3d reconstruction, mapping and self-supervised methods.
  • Develop a data strategy on which input dataset to use or create
  • Implement various self-supervised and mapping methods
  • Benchmark the reconstruction and mapping results
  • Generate synthetic scanning path and data and evaluate its quality
  • Document the results in a technical report


You're the right fit if:

  • Currently studying towards your Master WO (MSc.) in Data Science, Mathematics, Applied Mathematics, Computer Science, Physics, Electrical/Electronic/Biomedical engineering.
  • Experience with Python programming is essential.
  • Good knowledge of machine learning practices in PyTorch.
  • Passion for 2D/3D rendering and mapping
  • Experience with state-of-the-art AI models in computer vision.
  • Language: good written and spoken English.
  • Previous internship experiences is not necessary but a plus.
  • Good communication skills and enthusiasm to work in an international team.
     

How we work together
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.

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. 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’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 here.

#LI-EU

#EOS

Locations

  • Eindhoven, Noord-Brabant, Netherlands

Salary

Estimated Salary Rangemedium confidence

25,000 - 45,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Experience with Python programmingintermediate
  • Good knowledge of machine learning practices in PyTorchintermediate
  • Passion for 2D/3D rendering and mappingintermediate
  • Experience with state-of-the-art AI models in computer visionintermediate
  • Good communication skillsintermediate
  • Enthusiasm to work in an international teamintermediate

Required Qualifications

  • Currently studying towards Master WO (MSc.) in Data Science, Mathematics, Applied Mathematics, Computer Science, Physics, Electrical/Electronic/Biomedical engineering (experience)
  • Good written and spoken English (experience)
  • Previous internship experiences is not necessary but a plus (experience)

Responsibilities

  • Conduct a review of image-based 3d reconstruction, mapping and self-supervised methods
  • Develop a data strategy on which input dataset to use or create
  • Implement various self-supervised and mapping methods
  • Benchmark the reconstruction and mapping results
  • Generate synthetic scanning path and data and evaluate its quality
  • Document the results in a technical report

Benefits

  • general: 6-9 months assignment
  • general: 40h/a week
  • general: allowance 500-700 Euro

Target Your Resume for "Data Science Internship: Panoramic Tooth Mapping" , Philips

Get personalized recommendations to optimize your resume specifically for Data Science Internship: Panoramic Tooth Mapping. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Science Internship: Panoramic Tooth Mapping" , Philips

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Experience with Python programmingGood knowledge of machine learning practices in PyTorchPassion for 2D/3D rendering and mappingExperience with state-of-the-art AI models in computer visionGood communication skillsEnthusiasm to work in an international teamHealthcare Technology
Quiz Challenge

Answer 10 quick questions to check your fit for Data Science Internship: Panoramic Tooth Mapping @ Philips.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.