Katja Hose
10 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
University Assistant Post-Doc in Data Warehousing and System Performance Optimization (Institute of Logic and Computation) TU Wien in Austria
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Austria
University
TU Wien
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
About this position
TU Wien, Austria's largest technical university, is offering a University Assistant Post-Doc position at the Institute of Logic and Computation, specifically within the Research Unit of Databases and Artificial Intelligence. This full-time role (40 hours/week) focuses on data warehousing and system performance optimization, with an initial contract of one year and the possibility of extension for up to two years. The successful candidate will analyze and optimize the architecture and performance of an existing data warehouse system, improve ETL processes, introduce and evaluate optimized data models and indexing approaches, and enhance system monitoring, fault tolerance, and recovery mechanisms.
Collaboration with technical and academic partners is expected to ensure alignment with production workflows, and the candidate will be encouraged to publish results and contribute to technical communities. Organizational and administrative participation within the research division and faculty is also part of the role. Applicants must have a PhD in Computer Science, Information Systems, or a closely related field, with a strong background in data warehousing, database systems, or distributed data management.
Experience with ETL pipelines, SQL optimization, and system-level performance tuning is required, as is familiarity with modern data architectures (star/snowflake schemas, OLAP, data marts) and programming skills in Python, SQL, Java, or similar technologies. The position offers a dynamic research environment, opportunities for professional development, and a highly competitive salary (minimum EUR 4,932.90/month gross, paid 14 times/year, with potential increases based on experience).
TU Wien is committed to diversity and encourages applications from women and individuals with special needs. The application deadline is November 13th, 2025, and the expected start date is January 2026. For further information, applicants may contact Professor Katja Hose at [email protected].
Funding details
Available
What's required
Applicants must hold a doctoral degree (PhD) in Computer Science, Information Systems, or a closely related field. They should have a strong background in data warehousing, database systems, or distributed data management, with experience in ETL pipelines, SQL optimization, and system-level performance tuning. Familiarity with modern data architectures (such as star/snowflake schemas, OLAP, and data marts) is required, as well as programming and scripting experience in Python, SQL, Java, or comparable technologies. Candidates must be able to work independently and collaboratively within an interdisciplinary team. Excellent written and spoken English is required; knowledge of German is an advantage.
Ask ApplyKite AI
Professors
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.