• 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 machine 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 gain insights into how research supports defining solutions for new product development in the medical device industry. 

• You will enhance your scripting skills by automating your developed approaches and evaluations and allow for efficient processing of data. 

This is what makes you stand out 

• Academic Pursuit: You are currently pursuing a master’s degree in computer science, software engineering or similar study and are actively seeking an internship for a 6-month duration. Ideally, you have previous experience with medical imaging. 

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

• 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. 

Duration of your internship: 6 months (full-time) 

Type of internship: We offer voluntary internships alongside your studies, compulsory internships/practical semesters, and a combination of both 

When you start with us: October 2026 

Where you will work: Freiburg (Breisgau) 

What you can expect: Fair pay, holiday entitlement, exciting training and personal 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’re excited to receive your application! Please include all relevant documents (cover letter, CV, and transcript of records) and upload them directly under the “CV” section of the application form. 

If your application is successful, we will first conduct a short telephone interview with our University Talent Acquisition Team. If everything fits, this will be followed by a one-hour video interview with the department. We will then get back to you with final feedback.