Intern – Image Processing – Medical Device -… at Philips · Bedford

Summary: Philips is a health technology company focused on improving healthcare access for everyone. This internship offers hands-on experience in developing cardiovascular medical imaging algorithms and provides mentorship from senior engineers, while supporting impactful R&D work for clinicians and patients worldwide. Responsibilities: - Explore medical image datasets and identify computer‑detectable features in both image‑based and non‑image‑based data to support algorithm development - Support the creation and enhancement of image annotation tools needed to generate high‑quality training data - Describe and characterize clinical datasets to prepare dedicated datasets for algorithm testing and evaluation - Develop tools that quantitatively and qualitatively assess algorithm performance on test datasets - Design, train, and test image processing algorithms using both hand‑crafted features and learned representations Required Qualifications: - 2+ years of experience in image processing, registration, segmentation, classification, analysis, or visualization—ideally in the medical domain (CT, ultrasound, MRI, PET, or optical imaging) - Development or implementation of signal and image processing algorithms using C, C++, C#, Python, or MATLAB - Experience with Python analytics and visualization libraries (Pandas, Scikit‑learn, Matplotlib) - Familiarity with deep‑learning frameworks such as TensorFlow, Keras, or PyTorch - Currently enrolled in a degree program in engineering, computer science, biomedical engineering, applied mathematics, or a related discipline - Effective communicator with strong written and verbal skills - Collaborative mindset and the ability to adapt quickly in a research‑focused environment - Ability to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation Required Skills: Image processing, C/C++/C#/Python, Deep learning frameworks Important Skills: Medical imaging experience Nice-to-Have Skills: Collaborative mindset Internship Start Date: Start in 2026 Summer