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# Master Thesis Opportunity: Computer Vision for Motorsport Video Analysis

- **Company:** TOYOTA GAZOO Racing Europe GmbH
- **Location:** Köln, Germany
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Computer Vision, Data Security, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Pytorch, Deep Learning, Information Technology
- **Published:** June 13, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=bde4055bc050016d

## About the Role

Do you have experience in Python?, Do you have a Master's degree?, * Master's student in Computer Science, Engineering, Data Science, Mathematics, Physics, or a related field

 * Hands-on experience with machine learning and computer vision in Python
 * Experience with at least one deep learning framework (preferably PyTorch)
 * Basic understanding of object detection, image processing, or video analysis
 * Experience with OpenCV, YOLO-style models, tracking, segmentation, or data annotation is a plus
 * Strong analytical mindset and ability to evaluate models using objective metrics
 * Interest in motorsport and applied AI systems is beneficial

## Description

Your work will focus on transforming this raw video data into structured and actionable insights by improving current computer vision models.

Key tasks include:

 * Reviewing and selecting state-of-the-art object detection and video analysis methods
 * Designing and implementing improvements to an existing baseline model
 * Enhancing robustness against real-world challenges such as: Occlusions, Lighting variability, Complex camera perspectives, Visually similar vehicles
 * Evaluating performance improvements using objective metrics
 * Generating structured outputs (e.g. vehicle detection and relative positioning) for further analysis
 * Documenting findings, limitations, and recommendations for future development

Technologies & Environment

You will work in a modern machine learning environment, including:

 * Python-based ML stack (e.g. PyTorch, OpenCV)
 * Object detection frameworks (e.g. YOLO or similar)
 * AWS-based data access and processing
 * Large-scale motorsport video datasets from past WEC events


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