Working Student (f/m/d) - Machine Vision Marker Design

You’re an important part of our future. Hopefully, we're also a part of yours! At B. Braun, we protect and improve the health of people worldwide. As a Corporate Start-Up based in Freiburg, Germany, B. Braun New Ventures takes a lead role in the digital transformation of healthcare. With a young and fast-growing team, we develop solutions to automate medical procedures across various business areas. Our goal is to augment caregivers’ eyes, hands and decision making with sensors, robotics, and artificial intelligence. Our cloud platform team is focused on creating corporate-wide solutions that will drive the next generation of B. Braun’s digital products and connected devices. The technologies and products we develop create new treatment possibilities, enable sharing of clinical experience, and result in better patient care.

We are looking for a Working Student (f/m/d) - Machine Vision Marker Design in our Computer Vision team at B. Braun New Ventures in Freiburg for at least 6 months.

Duties and Responsibilities:

• You will support the design of a new tracker for surgical navigation software
• You will study existing Computer Vision marker designs, such as ArUco Markers
• You will design and execute parameter studies to evaluate the impact of design choices
• You will collect data and train detection models based on the new design
• You will conduct accuracy tests using novel tracking technologies for surgical navigation
• You will develop and maintain scripts and tools using Python
• You will analyze test results and contribute to the improvement of tracking robustness and accuracy
• You are open to collaborate with software engineers, robotics experts, and clinical stakeholders in an agile Scrum environment
  
  

Professional Competencies:

• Enrolled in a Master’s program in Computer Science, Biomedical Engineering, Robotics, or a related field
• Programming skills in Python, Pytorch, OpenCV
• Proficient in software development: prototyping, coding, documentation
• A deep understanding of computer vision algorithms, deep learning technology, and image processing knowledge
• Experience using computer vision algorithms, training and validating deep Neural Networks
• It's a plus to have experience with popular object detection models, such as YOLO
• It's a plus to have experience with graphics simulation, such as Unity
• It's a plus to have a good understanding of 3D Geometry
  
  

Personal Competencies:

• Interest in medical technology, computer vision algorithms, and system accuracy
• Good communication skills in English; German is a bonus
• Motivated, curious, and eager to learn in a high-tech, interdisciplinary environment
  
  

Benefits:

• Hands-on experience in a fast-growing medtech start-up
• Opportunity to work on real-world testing challenges in surgical navigation
• A brand-new modern office optimized for concentration and collaboration with an integrated high-tech simulation operating room, generous social areas and creativity zones
• High quality of life in one of Germany’s most attractive cities
  
  

B. Braun New Ventures GmbH | Haakon Schröder | +49 160 95704687