Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
Computer Vision and Learning Group (VLG) is a research group within the of the at . The VLG group is led by Prof. Dr Siyu Tang.
Our research interest lies in computer vision and its combination with machine learning. We work on discovering and proposing algorithms and implementations for solving high-level visual recognition problems. The goal is to advance the frontier of robust machine perception in real-world settings.
This position will last for three months with the possibility of an extension. The starting date is flexible. You are allowed to work 15 hours per week during the semester.
For human motion modelling, the key is to capture high-quality data in an efficient way. To this end, we have proposed several methods for markerless motion capture from multiview cameras and would like to deploy these algorithms to a real mocap system e.g. in the IDL lab (). The goal is to capture the high-quality motion of single/multiple people only from cameras. By inviting subjects to the studio and pressing the buttons of the software, we can capture high-quality motion data.
Rather than developing from scratch, you will work based on the existing platforms. Besides technical work, you also need to coordinate with technicians, subjects, etc.
ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Computer Vision and Learning Group can be found on . Questions regarding the position should be directed to Dr Yan Zhang, email, yan.zhang@inf.ethz.ch (no applications).
23-03-2024
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