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Working Student (f/m/d) - Computer Vision & Data Pipeline

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Working Student (f/m/d) - Computer Vision & Data Pipeline

B. Braun New Venturesvor 2 StundenWerkstudent
Vor OrtEnglisch erforderlichDeutsch von Vorteil (nicht erforderlich)TechKI, ML & Data Science

Erforderliche Skills

Keypoint TrackingLinuxObject DetectionMachine LearningCronSimulationComputer VisionData CurationGPUUbuntuPythonDocker

Stellenbeschreibung

We are looking for a Working Student (f/m/d) - Computer Vision & Data Pipeline in our Machine Vision team at B. Braun New Ventures in Freiburg for at least 5 months. Join us in building real-world computer vision systems for surgical applications, from data creation to automated validation pipelines.

Duties and responsibilities:

  • You will create and curate a dataset for surgical instrument tracking using computer vision, based on recordings from real-world operating rooms (OR)
  • You will develop a simulated dataset in a controlled environment covering a range of zoom and focus settings
  • You will set up and maintain a dedicated compute node in the rack to run automated, nightly validation pipelines
  • You will design and implement scheduling and automation workflows (e.g., cron jobs, services, Docker-based execution)
  • You will evaluate and benchmark computer vision pipelines (e.g., object detection, keypoint tracking) using defined performance metrics
  • You will analyse validation results and improve the robustness and reproducibility of the pipeline
  • You will document datasets, experiments, and findings in a structured way
  • You will collaborate with software, hardware, and clinical stakeholders in an interdisciplinary environment

Professional competencies:

  • Enrolled in a Master’s program in Computer Science, Software Engineering, Robotics, or a related field
  • Solid programming skills in Python (data processing, scripting, automation)
  • Experience with Linux systems (Ubuntu) and basic system administration
  • Familiarity with Docker and containerized workflows
  • Basic understanding of computer vision and machine learning pipelines (e.g., detection, tracking)
  • Experience handling datasets (synthetic, simulated, and/or real-world data)
  • Understanding of model evaluation metrics (e.g., accuracy, detection rate, stability/jitter)
  • Basic knowledge of GPU vs CPU inference workflows

Personal competencies:

  • Strong analytical and problem-solving mindset
  • Ability to work independently on loosely defined problems
  • Clear documentation and reporting of results
  • Interest in medical technology, test automation, and system accuracy
  • Good communication skills in English; German is a plus
  • 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
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