Ulrik Brandes
10 months ago
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PhD Position in Soccer Analytics ETH Zürich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Switzerland
University
ETH Zürich

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About this position
The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is offering a PhD position focused on soccer analytics. The group is at the forefront of developing network data science methods and applying them to sports analytics, with a particular emphasis on association football (soccer). The successful candidate will work on defining and extracting novel types of relations from high-quality event and tracking data, analyzing and interpreting spatio-temporal networks, and identifying new descriptors relevant for match analysis and tactical decision-making.
Collaboration with professionals in the field will be a key aspect of the research. The position is ideal for candidates with a solid background in computer science, mathematics, or statistics, and a strong interest in empirical analysis and interpretation. Specializations such as network analysis, computational geometry, or time-series analysis are particularly relevant, but candidates with a sports background and computational skills are also encouraged to apply. ETH Zürich offers an inspiring research environment, close collaboration within an internationally recognized lab, advanced training in modern methods, access to stakeholders in professional football, generous research funding, and a competitive salary with no tuition fees.
Additional benefits include public transport season tickets, car sharing, childcare, and attractive pension benefits. The university values diversity, sustainability, and equality of opportunity, fostering an inclusive culture for staff and students. Applications should be submitted online before November 15, 2025, and must include a CV, motivation letter, transcripts, and any publications.
For further information, candidates may contact Prof. Dr. Ulrik Brandes. ETH Zürich is renowned for its excellence in science and technology, providing a stimulating environment for independent thinking and research.
Funding details
Available
What's required
Applicants must have a solid background in computer science, mathematics, or statistics, and a strong interest in empirical analysis and interpretation. Specializations may include network analysis, computational geometry, or time-series analysis. Candidates with a degree in sports and a strong computational leaning are also welcome. Required application documents include a curriculum vitae with contact information for three referees, a motivation letter, full transcripts of Bachelor and Master degrees (or equivalent), and any publications. No specific GPA or language test requirements are mentioned.
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