University Assistant Post-Doc
Vor 4 Tagen
- Vollzeit
- Wien
- Veröffentlicht am 15. Dezember 2025
- EUR /month gross, 14 times/year for 40 hours/week. Relevant working experiences may increase the monthly income. EUR / Jahr
Website
TU Wien - Institute of Logic and Computation, Research Unit Databases and Artificial Intelligence
At the Institute of Logic and Computation, in the Research Unit of Databases and Artificial Intelligence TU Wien is offering a position as university assistant (post-doc) data warehousing and system performance optimization for 40 hours/week limited to expected 1 year. Expected start: January 2026.
Tasks
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
Participation in organizational and administrative tasks of the research division and the faculty
Your Profile
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)
Programming and scripting experience (e.g., Python, SQL, Java, or comparable technologies)
Ability to work both independently and in close collaboration with an interdisciplinary team
Excellent written and spoken English: knowledge of German is an advantage
We Offer
A dynamic research and development environment at one of Europe's leading technical universities
Opportunity to shape the next generation of high-performance institutional data infrastructure
Close collaboration with both academic researchers and operational data management experts
A highly competitive salary and a range of attractive social benefits (see Benefits)
Option to extend, if applicable
Excellent research environment in an internationally visible team
Option for contract extension after the first year based on mutual agreement and project progress
Wide range of internal and external training opportunities, various career options
Central location of workplace as well as good accessibility (U1/U2/U4 Karlsplatz)
For further questions please contact Professor Hose
We look forward to receiving your application until January 15, 2026 on our job platform:
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