Postdoctoral Position in Soccer Analytics

Eidgenössische Technische Hochschule Zürich; Zürich; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

ETH Zürich's Algorithms and Visualization Group invites applications for a postdoctoral researcher in soccer analytics. The position is initially two years, with flexible start date.

The role combines advanced data science methods for match and performance analysis with teaching and supervision of students, and collaboration with professional football stakeholders. You will develop your own research agenda, contribute to ongoing projects, and work within a vibrant team that values rigorous

Qualifikationen

• Doctoral degree in computer science, mathematics, statistics, or similar field (sports with computational leaning also welcome).
• Strong interest in data and sports, including football.
• Curious, creative and critical mindset; ability to interpret empirical results.

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.
• Contribute to team goals and ongoing projects.

Kenntnisse

PhD in CS

Data analytics

Football analytics

English proficiency

Creativity & critical thinking

Ausbildung

Doctoral degree in CS/Math/Statistics

Jobbeschreibung

Postdoctoral Position in Soccer Analytics

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.

• 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 incomputer 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

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 .

ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow.