Vacancy Description
Key Responsibilities
- Develop 3D objects and segmentation models for a robotic pick and place project.
- Develop data augmentation/data synthesis methods to address challenges from limited training data.
- Develop algorithms to annotate 2D images through 3D images.
- Check data quality.
- Review and identify the weaknesses of existing methods for 3D object detection and segmentation.
- Carry out experiments and analyze the results.
- Develop a robotic pick and place with other researchers and engineers.
- Prepare reports and scientific papers.
- Master’s in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
- More than 2 years of research experience preferred.
- In-depth knowledge of deep learning, specifically, 2D and 3D object detection and segmentation, SAM, foundation models, diffusion models, transfer learning and few-shot...
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