Your Mission 

Are you looking for an Internship where you can apply modern technologies to real healthcare challenges? Join our R&D team and contribute to AI-powered software solutions that support robotic-assisted surgery. During this MedTech Internship, you will work on innovative projects involving C++, Python, computer vision, and robotics while collaborating with experienced engineers and specialists. You will gain valuable hands-on experience, strengthen your technical expertise, and help develop technologies that support better patient outcomes and the future of digital healthcare. 

What You'll Do 

• Develop software components using C++ and Linux technologies 

• Support the development of AI-driven solutions to enhance Robotic-Assisted Surgery 

• Apply Computer Vision, Image Processing, and Machine Learning techniques to real healthcare challenges 

• Evaluate algorithm performance and contribute to technical improvements 

• Collaborate with software engineers, biomedical engineers, and domain experts in multidisciplinary teams 

What You'll Bring 

• Currently pursuing a Master's degree in Computer Science, Biomedical Engineering, Medical Engineering, Software Engineering, Information Technology, or a related field 

• Initial experience with C++ and Python 

• Basic knowledge of AI-Foundations, Computer Vision or Robotics 

• Interest in healthcare software, medical imaging, and innovative technologies 

• Good English language skills (minimum B2) 

What's In It for You 

• Paid six-month full-time internship (voluntary internship alongside studies, mandatory internship, or a combination of both possible) 

• Start date: March or April 2027 

• Location: Freiburg (Breisgau, Germany) 

• Flexible working hours and attractive holiday allowance 

• Mentoring and training to support your growth 

• Hands-on projects with real-world impact in an international environment 

Application Process 

Please upload all application documents (a short cover letter, current CV/resume, and transcript of records) either as one combined file or as separate files in the Resume/CV section of the application form. Additional documents cannot be uploaded later. 

Our selection process is simple and transparent: 

1. Application review 

2. Short introductory phone conversation with our University Talent Acquisition Team 

3. One-hour video interview with the hiring team 

We value diversity and are committed to creating an inclusive workplace. We welcome applications from all qualified individuals, regardless of ethnic, national, or social background, gender, disability, age, or sexual identity.