About the role#
This is a paid, full-time graduate co-op position for Summer 2027 within the Image Guided Therapy Devices Software R&D group. You will work on-site in Plymouth, Minnesota, to support the development and validation of machine-learning-enabled workflows for clinical imaging software. You will collaborate with engineers and data scientists to improve the performance and reliability of AI models used in medical devices.
What you'll do#
- Support the development, analysis, validation, and documentation of data-driven workflows.
- Assist with exploratory data analysis to identify patterns, trends, and data quality issues.
- Verify the quality, consistency, and reliability of data sources for AI/ML model development.
- Document data sources, cleaning processes, and performance metrics.
- Assist with model training, evaluation, tuning, and performance analysis.
- Complete required regulatory and quality management system training.
- Present a summary of your project, technical approach, and results at the end of the term.
What you'll need#
- Current enrollment in a master's or doctorate program in computer science, computer engineering, or a related field.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Familiarity with CNN architectures like UNet and ResUNet.
- Understanding of medical imaging standards including DICOM and NIfTI.
- Experience managing medical imaging databases.
- Strong problem-solving and debugging skills.
Location & details#
- Location: Plymouth, Minnesota.
- Modality: On-site, full-time.
- Term: Summer 2027.
- Sponsorship: Not available for this position.
About Philips
Philips operates in the health technology sector. The company focuses on medical devices, cardiology, oncology, and connected care systems. It supports clinicians with diagnostic tools and patient recovery programs. Based in Amsterdam, the organization functions as a public company with over 10,000 employees.
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