Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The Algorithms and Visualization Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of fields. We are intensifying our research on sports analytics and therefore seek to expand the team.
High-quality event and tracking data are changing the way football (soccer) is analyzed and presented. We aspire to move to the forefront of this development by exploring innovative approaches.
You will be defining and extracting novel types of relations from event and tracking data. To analyze and interpret resulting spatio-temporal networks, you will identify characteristics and determine new descriptors. Their relevance for match analysis and tactical decision-making will be assessed in collaboration with professionals.
Areas of prior specialization can be, for instance:
Applications from candidates with a degree in sports and a strong analytic leaning are also encouraged.
We look forward to receiving your online application with the following documents:
Closing date for applications: September 9, 2021. Starting date: by agreement, as soon as possible.
Further information about the Social Networks Lab can be found on . Questions regarding the position should be directed to Prof. Dr. Ulrik Brandes, email email@example.com, but applications are accepted only through the online system.
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 to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Bitte sage uns wo du ähnliche Stellenanzeigen suchst und vergiss nicht deine E-Mail Adresse anzugeben!