[Ieee_vis_open_positions] Doctoral Position in Data Science/Machine Learning

[Viktoria Schildhammer]

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 https://airow.univie.ac.at.

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 (viktoria.schildhammer at univie.ac.at). The 
recommendation letters should be sent by the reviewers directly to 
Viktoria Schildhammer (viktoria.schildhammer at univie.ac.at).

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 
https://datascience.univie.ac.at.

If you need further information regarding the position, please, contact 
Professor Nikolaus Hautsch (nikolaus.hautsch at univie.ac.at)