Job Description
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.
Ouroffertoyou
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 be involved in all aspects of AI/ML algorithm development including data preparation and labeling.
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 biomedical engineering or a related engineering degreewith strong experience in machine learning. Students from computer science, software engineering or a similar degree with medical imaging experience will also be considered.
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: October 2025
Duration: 6 months
Location: Freiburg
We offer an: attractive salary, generous holiday entitlement, training and mentoring and flexible working hours
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 complete online application with all relevant documents (letter of motivation, current CV, diplomas and course transcripts). Please note that all attachments should be uploaded directly to the 'CV' section of the application process.
If your application is successful, you will first have a short telephone interview with our University Talent Acquisition team. If all goes well, this will be followed by a one-hour video interview with the department. We will then contact you with final feedback.
Travel Percentage: None
