Internship learning imu representation

Job Title

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 assignment is about learning representations using self supervised learning on large amounts of unlabeled IMU data. Our IMU data comes from brushing session with our high-end Philips Sonicare toothbrushes. This IMU data is used as input to our AI model to predict where in the mouth a user is brushing. By improving the internal representations we hope to improve the accuracy of this AI model. Additionally the learned representations can be used to better characterize toothbrush motion and detect outliers.

Your role:

• Conduct a review of self-supervised methods and techniques.
• Implement various self-supervised methods
• Train variants of our localization model leveraging the self-supervised weights
• Benchmark localization models to quantify improvement due to self-supervised learning
• Explore opportunities for better characterization and outlier detection.
• Document the results in a technical report.

Youre the right fit if:

• Currently enrolled in a Masters program (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.
• Interest in healthcare technology and signal processing
• Experience with state-of-the-art AI models in computer vision / signal processing
• 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 wont 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 youre 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.

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