Are you passionate about developing and creating products that help improve patient care and outcomes through the development of computer-assisted surgical systems? 

We are looking for a motivated and enthusiastic student to join our R&D team focusing on software development for advanced navigation in orthopaedic surgery. In this role, you'll have the opportunity to make a meaningful contribution to a cutting-edge solution for computer-assisted surgery that can have a significant impact on patient outcomes. 

Our offer to you:   

• You will perform problem solving, identify potential solutions and evaluate them. 

• You will implement software components in C++/Qt on a Linux platform. 

• You will work in a multidisciplinary team of software engineers and domain experts. 

• Evaluate the performance of developed algorithms using appropriate metrics. 

• Document research findings, algorithms and results in reports. 

That makes you stand out: 

• You are currently enrolled in a master's programme in computer science, biomedical engineering or a related field. 

• You have experience in object-oriented programming (C++/Java, etc.) and a strong interest in developing high-performance software. 

• You have a background in computer vision, image processing and/or machine learning. 

• Familiarity with medical imaging (CT, MRI) and segmentation techniques is a plus. 

• You have the ability to work both independently and collaboratively. 

• You have good communication and documentation skills in English. 

Start Date: September or 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.