Work Flexibility: Onsite

The Stryker Sports Medicine team in Freiburg develops patient-specific solutions to support clinical decision-making for indications that can be treated with minimally invasive joint surgery.

As an intern in the team, you will contribute to the advancement of the Sports Medicine patient-specific solution offering. You will investigate and implement novel analysis methods, as well as evaluate the results.

Our offer to you

• As a valued member of our international Sports Medicine R&D team you support the advancement of image-based enabling technologies.

• Working with medical image data, you will extend your proficiency in AI/ML by applying computer vision and deep learning techniques to develop innovative solutions that can be used in pre-operative analysis and planning.

• You will enhance your programming skills by developing software according to coding guidelines and under the guidance of experienced software developers.

This is what makes you stand out

• Academic Pursuit: You are currently enrolled in a master’s program for computer science, software engineering or similar degree and are actively seeking an internship.

• Technical Drive: You are passionate about improving your technical expertise, especially in areas like AI/ML and software development.

• Software Savvy: Ideally, you are proficient in Python development and have initial experience with deep learning and frameworks such as Tensorflow or PyTorch and/or computer vision libraries (e.g. OpenCV), enabling you to work independently.

• Effective Communication: Your strong spoken and written English skills empower you to confidently engage in our international environment and successfully document your work in scientific English.

Start Date: April 2025  

Duration: 6 months

Location: Freiburg
 

Diversity is important to us. We welcome applications from people regardless of their ethnic, national or social origin, gender, disability, age or sexual identity.

We look forward to receiving your online application with all relevant documents (letter of motivation, CV, examination regulations, current transcript of records, etc.). Please note that all the above attachments should be uploaded directly in one file under the "CV" section.

Travel Percentage: None