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# researcher computer vision

- **Company:** Vintecc
- **Location:** Roeselare, Belgium (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Computer Literacy, Python (Programming Language), NumPy, Object Detection, OpenCV, Pytorch, Deep Learning, Information Technology
- **Published:** October 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0bca6e36f0377a94

## About the Role

* A PhD in computer vision, AI or a related field is preferred. A Master's degree in engineering, computer science or AI with demonstrable research experience is also acceptable.
 * In-depth knowledge of computer vision and deep learning (e.g. CNNs, transformers, detection and segmentation).
 * You use Python, NumPy, PyTorch and OpenCV to carry out experiments.
 * An inquisitive, critical mindset: you set up experiments yourself and are not afraid to question results.
 * You enjoy working with focus and independently on a clearly defined research question.
 * You are a good communicator: you explain your results clearly to colleagues, both verbally and in writing, in both Dutch and English.

Desirable (not essential):

 * Experience with synthetic data, simulation or rendering (e.g. Blender, Unity, Omniverse).
 * Experience with 3D vision, depth cameras or multispectral imaging.
 * Publications or experience with Flemish or European research projects

## Description

* You keep abreast of the latest developments in computer vision and deep learning and assess what is of value to the industry.
 * You carry out research within ongoing R&D projects, focusing on topics such as synthetic data, 3D deep learning, object detection and tracking, and models on edge hardware.
 * You will design experiments, thoroughly test new methods and objectively evaluate the results.
 * You will clearly document your findings in technical reports and project deliverables.
 * You will help draft new R&D project proposals.
 * You will share your knowledge with the team through demos, validation using project data, internal sessions or publications.