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Student assistant: human motion capture & graphics engineer in Zürich

Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.


20%-30%, Zurich, fixed-term

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. 

Project background

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.

Job description
  • Develop software for a markerless mocap system based on multi-view cameras.
  • If necessary, you will also need to work with a marker-based mocap system (e.g. Vicon mocap) and develop software for it.
  • Deploying our existing methods on these real systems.
  • Help to coordinate experiments with subjects and technicians.
  • Other related works.
Your profile
  • You are a Master’s student in Computer science or in a relevant domain. This position is only valid for registered students.
  • You hold experience in camera calibration, 3D computer vision, human pose estimation, parametric body models, and related virtual human and graphics technologies.
  • Coding skills on Python, C++, etc.
  • Experiences on Vicon, Blender, and other software are plus.
Your workplace
Your workplace

We offer

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 value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.

We look forward to receiving your online application with the following documents:

  • Resume
  • transcript
  • demos (optional)

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).

About ETH Zürich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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