The Research Network 鈥淒ata Science @ Uni Vienna鈥 invites applications for a doctoral position in the field of
Machine Learning with applications for training load management in top-level sports
We are looking for candidates with a strong background in statistics, particularly machine learning, good programming skills in R and/or Python and experience in visualization and visual data analysis. Candidates should have a master鈥檚 degree preferably in data science, statistics, mathematics, computer science or related fields with strong quantitative orientation.
We offer a pleasant work environment within a friendly, dynamic and international team, being placed in a city with the world-wide highest living quality. The candidate will work in the project 鈥淎rtificial Intelligence in Rowing鈥 (AIROW), a highly innovative and interdisciplinary project on the interface between statistics, computer science and sports sciences. This project will bring together methodological competence in data 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, such as rowing, swimming, triathlon or running. We will collect and process 鈥瀊ig data鈥 from training and performance processes of individual athletes and will use state-of-the-art machine learning technology in order to quantify the training workload, to predict the effect of training impulses and to optimize training management. For more details, see .
Contracts for doctoral students are limited to 4 years. Doctoral applications should include (i) a curriculum vitae, (ii) a transcript of completed courses and grades (iii) a letter of motivation, and (iv) three recommendation letters. Salary in accordance with : 搂48 VwGr. B1 Grundstufe (praedoc)听with relevant work experience determining the assignment to a particular salary grade.
Candidates should send all application material in a single pdf or zip file to Viktoria Schildhammer ([email protected]). The recommendation letters should be sent by the reviewers directly to Viktoria Schildhammer ([email protected]).
Deadline: 01.11.2022
Knowledge of German is an asset, but not required. The University of Vienna is an equal opportunity employer and aims at increasing the number of female faculty members. Therefore, in particularly, qualified women are encouraged to apply. Information about the Research Network 鈥淒ata Science @ Uni Vienna鈥 can be found at .
If you need further information regarding the position, please, contact Professor Nikolaus Hautsch ([email protected])
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