Summary
TU Wien is seeking a highly motivated University Assistant (Post-Doc) in the field of data warehousing and system performance optimization. This position offers the opportunity to contribute to cutting-edge research and development at one of Europe’s foremost technical universities.
Postdoctoral Position for University Assistant, TU Wien, Karlsplatz, Vienna, Austria
Designation
University Assistant (Post-Doc)
| Details | Information |
|---|---|
| Type | Full-time (40 hours/week) |
| Contract Duration | Limited until December 31st, 2027 |
| Expected Start Date | June 2026 |
Research Area
- Data Warehousing
- System Performance Optimization
- Databases and Artificial Intelligence
Location
TU Wien, Karlplatz, Vienna, Austria
Eligibility/Qualification
- Doctoral Degree (PhD) in Computer Science, Information Systems, or a closely related field.
- Strong background in data warehousing, database systems, or distributed data management.
- Experience with ETL pipelines, SQL optimization, and system-level performance tuning.
- Familiarity with modern data architectures (e.g., star/snowflake schemas, OLAP, data marts).
- Proficiency in programming and scripting languages (e.g., Python, SQL, Java).
- Excellent written and spoken English; knowledge of German is an advantage.
Job Description
- Analyze and optimize architecture and performance of an existing data warehouse system.
- Improve ETL processes, including incremental and source-specific update strategies.
- Introduce and evaluate optimized data models and indexing approaches to accelerate query execution.
- Enhance system monitoring, fault tolerance, and recovery mechanisms to improve operational resilience.
- Collaborate with technical and academic partners to align developments with production workflows.
- Publish results and contribute to dissemination within relevant technical communities.
- Participate in organizational and administrative tasks of the research division and faculty.
How to Apply
Interested candidates should apply through the following link: Apply Now.
Last Date for Apply
May 21st, 2026
