Doctoral Position in Data Science/Machine Learning

The Research Network “Data Science @ Uni Vienna” 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’s 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 “Artificial
Intelligence in Rowing” (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 „big data“ 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

AIROW - Artificial Intelligence in Rowing
AIROW - Artificial Intelligence in Rowing

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 collective
bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) 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 ( The
recommendation letters should be sent by the reviewers directly to
Viktoria Schildhammer (

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
“Data Science @ Uni Vienna” can be found at

Data Science @ Uni Vienna
Data Science @ Uni Vienna

If you need further information regarding the position, please, contact
Professor Nikolaus Hautsch (

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