Tenure-Track Professor in the field of Data Analytics in Sports
Offer Description
Job description:
The University of Vienna is internationally renowned for its excellence in teaching and research, and counts more than 7,500 academics from all disciplines. This breadth of expertise offers unique opportunities to address the complex challenges of modern society, to develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective.
At the Center for Sports Science and University Sports at the University of Vienna seeks to appoint a
Tenure-Track Professor in the field of Data Analytics in Sports
59 Centre for Sport Science and University Sports
Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2
Limited until: permanent
Reference no.: 2185
Requirements
Specific Requirements
The position
We are looking for an outstanding scientist who develops, adapts and applies state-of-the-art methods for the analysis of sports and movement data in a results-oriented manner and has profound experience in these areas. The position is embedded in a research field in which aspects of various movement and sports activities are investigated from different perspectives (e.g. biomechanics, performance analysis, sports medicine, physiology, technology, exercise science, psychology) in an interdisciplinary manner. With the help of innovative data-based approaches, insights are to be gained into current fields of development such as game and competition analysis, model-based training control, molecular performance physiology and biomechanical movement analysis. The tenure track professorship Data Analytics in Sport will be integrated into the research focus Human Performance of the Centre for Sport Science and University Sports ( ) and has excellent prospects to collaborate with groups working in this field. In addition, there are excellent opportunities for cooperation with the University of Vienna’s Data Science research network and with scientists conducting research in areas related to data science at the Faculties of Mathematics, Computer Science and Business, Economics and Statistics.
Your academic profile:
We expect the successful candidate to acquire, within three years, proficiency in German sufficient for teaching in bachelor’s programmes and for participation in university committees.
Additional Information
Benefits
We offer:
(level A2) and an organisational retirement plan
Work Location(s)
Number of offers available 1 Company/Institute Universität Wien Country Austria City Wien Postal Code 1010 Geofield
Where to apply Website
Contact City
Wien Website
Street
Universitätsring 1 Postal Code
1010
STATUS: EXPIRED
Wien
Fri, 01 Mar 2024 08:43:38 GMT
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