Ulrik Brandes

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.

Postdoctoral Position in Soccer Analytics at ETH Zürich in the Algorithms and Visualization Group within the Social Networks Lab , headed by Prof. Dr. Ulrik Brandes . The group develops network data science methods for applications across domains, and this opening focuses on sports analytics , especially association football (soccer) . The successful candidate will work on innovative approaches for match analysis and performance analysis using high-quality event and tracking data, collaborate with stakeholders in professional football, teach and supervise students, and develop an independent research agenda. Academic background: a doctoral degree in computer science , mathematics , statistics , or a related area is required; applicants with a degree in sports and a strong computational leaning are also welcome. Strong English is required, and German is a plus. Funding and terms: this is a fixed-term postdoctoral position for an initial period of two years , with flexible start date and duration. The post advertises excellent working conditions, mentoring, career development, and access to professionals and data, but does not specify salary or stipend. How to apply: applications must be submitted online only . Prepare a CV with 2–3 referees, a motivation letter describing your suitability and career goals, a publication list with your three most important achievements, and your doctoral certificate or confirmation of scheduled completion plus full master transcripts. Contact: questions about the position should be directed to Prof. Brandes at [email protected] . The application portal is linked in the post.

Postdoctoral Position in Soccer Analytics at ETH Zurich The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is seeking a postdoctoral researcher to help advance sports analytics, with a particular focus on association football (soccer). The group, headed by Prof. Dr. Ulrik Brandes , develops network data science methods across different application areas, and this role extends that work into match and performance analysis using modern event and tracking data. This is a research-focused postdoctoral appointment intended for an initial period of two years, with flexible start date and duration. The successful candidate will contribute to methods for match and performance analysis, teach and supervise students, collaborate with stakeholders in professional football, and develop an independent research agenda and academic profile. The environment combines research, teaching, and practical collaboration, with access to professionals and high-quality data. Eligibility highlights: a doctoral degree in computer science, mathematics, statistics, or a related field is preferred; applicants with a background in sports and strong computational skills are also welcome. The role seeks someone enthusiastic about data and sports, with a curious, creative, and critical mindset, interest in theoretical and empirical work, and strong English communication skills. German is advantageous. About the institution: ETH Zurich is one of the world’s leading universities in science and technology, offering excellent working conditions, mentoring and career development, and a supportive environment that values diversity, inclusion, and sustainability. How to apply: Submit the application online via the ETH Zurich portal only. Include a CV with 2-3 referees, a motivation letter outlining suitability and career goals, a publication list and statement of three key achievements, and proof of the doctorate plus master’s transcripts (or equivalent). Questions about the position should be directed to Prof. Brandes at [email protected] (not for applications). Application status: The posting lists the deadline as unspecified.