Publisher
source

Ulrik Brandes

10 months ago

PhD Position in Soccer Analytics ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Data Science
Sports Science
Mathematics
Network Analysis
Time Series Analysis
Computational Science
Computational Geometry
Strategic Decision-making
Sports Analytics
Match Analysis
Spatiotemporal Analysis
Soccer
Tracking Systems
Statistic
Applied Mathematic

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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