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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
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:
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
- 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
- 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
- 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
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