PhD Position in Soccer Analytics in Zürich

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


100%, Zurich, fixed-term

The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of fields. We are intensifying our research on sports analytics and therefore seek to expand the team.

Job description

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

You will be defining and extracting novel types of relations from event and tracking data. To analyze and interpret resulting spatio-temporal networks, you will identify characteristics and determine new descriptors. Their relevance for match analysis and tactical decision-making will be assessed in collaboration with professionals.

Your profile

You have

  • a solid background in computer science, mathematics, or statistics
  • and a strong interest in empirical analysis and interpretation.

 Areas of prior specialization can be, for instance:

  • network analysis,
  • computational geometry,
  • time-series analysis,
  • or graph neural networks.

Applications from candidates with a degree in sports and a strong analytic leaning are also encouraged. 


ETH Zurich
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.

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

  • A curriculum vitae including contact information of two referees
  • A letter that clearly demonstrates your motivation and suitability for the position
  • Full transcripts of your Bachelor and Master degree (or equivalent)
  • Publications (if any)

Closing date for applications: September 9, 2021. Starting date: by agreement, as soon as possible.

Further information about the Social Networks Lab can be found on . Questions regarding the position should be directed to Prof. Dr. Ulrik Brandes, email, but applications are accepted only through the online system. 

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.

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