Postdoctoral Position in Soccer Analytics

Postdoctoral Position in Soccer Analytics

ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.

The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is headed by Prof. Dr. Ulrik Brandes. We develop network data science methods for applications in a variety of domains. To further our research in sports analytics we seek to expand the team with a postdoctoral researcher. The position is intended for an initial period of two years, but starting date and duration are flexible.

High-quality event and tracking data are changing the way association football (soccer) is analyzed and presented. We aspire to move to the forefront of this development by exploring innovative approaches and trying them in practice.

• Conduct research on methods for match and performance analysis
• Teach and supervise students
• Collaborate with stakeholders in professional football
• Develop your own research agenda and profile
• Take one for the team

• Doctoral degree in computer science, mathematics, statistics, or similar;candidates with a degree in (any) sports and a strong computational leaning are equally welcome
• Enthusiasm for data and sports, including football
• A curious, creative, and critical attitude
• Interest in theory, empirical research, and substantive interpretation
• Excellent written and spoken English;
  
  German a plus

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 Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Sustainability is a core value for us – we are consistently working towards a climate-neutral future .

Further information about the Social Networks Lab can be found on our Website . Questions regarding the position should be directed to Prof. Brandes, [email protected] (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.