Postdoctoral Position in Soccer Analytics 100%

ETH Zürich; Zürich; Vor Ort; CHF 85.000 - 110.000; Vollzeit

Benefits dieser Stelle

Research as a team sport

Access to professionals and data

Mentoring and career development

Excellent working conditions

Zusammenfassung

ETH Zurich's Algorithms and Visualization Group in the Social Networks Lab seeks a postdoctoral researcher to advance network data science for sports analytics. The two-year position (flexible start) involves research, teaching, and collaboration with football stakeholders.

The candidate will develop and pursue a research agenda in match and performance analysis, mentor students, and contribute to an interdisciplinary team at ETH Zurich. Excellent English skills are required; German is a plus.

Qualifikationen

• PhD in computer science, mathematics, statistics, or similar.
• Strong enthusiasm for data and sports, including football.
• Excellent written and spoken English; German a plus.

Aufgaben

• 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

Kenntnisse

Data analysis

Sports analytics

Creative thinking

English proficiency

Ausbildung

PhD in computer science, mathematics, statistics, or related field

Jobbeschreibung

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.

Project background

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.

Job description

• 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

Profile

• 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

We offer

• Research as a team sport
• Access to professionals and data
• Mentoring and career development
• Excellent working conditions

Working, teaching and research at ETH Zurich

We value diversity and sustainability

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.