R&D Internship, AI-Based Data Synthesis

In your internship at Stryker, you will primarily learn and contribute to the simulation of realistic imaging data through methods like AI models and computer vision algorithms. 

• You will work with colleagues that are building software solutions for image-guided interventions and for intervention planning to understand the imaging data requirements that your synthetic data needs to meet. 

• You will use generative AI models such as GANs to evaluate concepts for imaging data synthesis and for improving synthetic images generated with other methods. 

• You will collaborate with subject matter experts to evaluate the effectiveness of the synthetic data for development and validation of software products. 

• You will be immersed in an R&D setting and you will learn about R&D processes and understand the regulatory process of medical devices. 

Your profile 

• You are enrolled in an engineering degree program (e.g. biomedical engineering or similar), Master's level is preferred.  

• You have followed courses on medical image formation using methods like CT, MRI, X-ray/fluoroscopy and ultrasound. 

• You have basic knowledge of computer vision and machine learning algorithms and have gained initial experience with training deep neural networks.