The project brings together methodological competence in statistics, machine learning and computer science with current developments in sport sciences as well as technological progress in wearables and medical diagnostics in order to optimize training load of top athletes in endurance sports. The project started as a pilot project in cooperation with the Austrian Rowing Federation (termed “AIROW – Artificial Intelligence in Rowing”) and will later be extended to other sports, such as swimming, triathlon, cycling and mid-/long distance running. The project is funded by the “Bundesministerium für Kunst, Kultur, öffentlicher Dienst und Sport“.
For more details, see airow.univie.ac.at
In the project, we collect and process „big data“ from training and performance processes of individual athletes and will use state-of-the-art machine learning technology in order to measure effective training load, to predict the effect of training impulses and to optimize training management. The project brings together researchers from statistics, computer science, mathematics, sports science and sports medicine. While being practically highly relevant in order to strengthen the competitiveness of Austrian top-level sports, the project is scientifically challenging and will produce novel insights and findings.
Currently, we are looking for motivated students with the following qualifications:
Requirements:
- knowledge of SQL (preferably T-SQL)
- good knowledge of one of the General-Purpose programming languages (Java, C++, C#, Python, Kotlin, JS/TS) (Preferable JavaScript/TypeScript)
Nice to have:
- understanding of REST API concept
- basics of client - server architecture
- some experience with writing unit tests o knowledge of clean code rules
- basics of Linux administration
- basics of data modeling
- basics of Azure cloud platform
Working contracts can be for 10h/week up to 20h/week. The project work may also result in a seminar project or thesis paper – depending on the tasks and topics. Interested students may contact Karol Kulma, kulmakarol@gmail.com
