Examples for research topics of interest are:
- high-performance machine learning methods in distributed and parallel environments,
- federated learning
- cloud-based big data analysis
- methods for the analysis of distributed data sources or
- algorithmic approaches for the analysis of high-throughput data streams.
Further topics of interest include, e.g., the analysis of very large networks and application-oriented approaches to the analysis of massive data, e.g., in the social sciences or humanities.
Close interaction and collaboration within the faculty of Computer Science and within DataScience@UniVienna, an interdisciplinary research network between several faculties of the University of Vienna, is expected.
More detailed information on this position and the application process:
