Katja Hose

TU Wien, Austria's largest technical university, is offering a four-year PhD position (University Assistant Prae-Doc) at the Institute of Logic and Computation, specifically within the Research Unit of Databases and Artificial Intelligence. The successful candidate will conduct research on knowledge graph embeddings, representation learning, and explainability, contributing to both research and teaching activities, guiding students, and participating in scientific events. The position involves writing a dissertation and publications, as well as assisting with organizational and administrative tasks. Applicants should have an excellent master's or diploma degree in Computer Science or a closely related field, strong programming skills, and experience in developing research prototypes. Expertise in knowledge graphs, graph embeddings, vector stores, and graph data management is required, along with interest and experience in representation learning, embeddings, or explainable AI. Candidates should demonstrate analytical and creative thinking, a structured and goal-oriented working style, and the ability to work independently and collaboratively. Proficiency in English is essential, and knowledge of German at level B2 or willingness to learn it is expected. TU Wien offers a dynamic research environment, attractive social benefits, and a central location in Vienna. The entry-level salary is at least EUR 2,786.10/month gross (14 times/year) for 30 hours/week, with potential increases based on relevant experience. The university encourages applications from women and individuals with special needs. The application deadline is November 6th, 2025. For further information, applicants may contact Professor Katja Hose ([email protected]).

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].

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. The role focuses on developing natural language interfaces, leveraging large language models, and advancing exploratory data access. The successful candidate will design and implement conversational interface layers that translate natural language queries into structured database requests, develop LLM-based query translation and schema-aware prompt design, and ensure data security and access control compliance. Additional responsibilities include creating mechanisms for response validation, grounding, and user feedback to enhance transparency and trust, as well as prototyping and evaluating AI-assisted and interactive data exploration methods across various domains. Collaboration with technical and academic partners is expected to align developments with production workflows, and the candidate will contribute to publishing and disseminating results within relevant technical communities. The position also involves participation in organizational and administrative tasks within the research division and faculty. Applicants must hold a PhD in Computer Science, Information Systems, or a closely related field, with a strong background in natural language processing, large language models, or intelligent information systems. Experience in prompt engineering, semantic parsing, text-to-SQL/data access models, data warehousing, SQL, OLAP, and data analytics is required, along with programming skills in Python or LLM frameworks. Interest in human-centered data exploration and visual analytics is highly desirable. The ability to work independently and collaboratively in an interdisciplinary team is essential, and excellent English communication skills are required; German language skills are advantageous. TU Wien offers a dynamic research environment, opportunities for shaping next-generation data infrastructure, close collaboration with academic and operational experts, and a highly competitive salary with attractive social benefits. The initial contract is for one year, with the possibility of extension for up to two years based on mutual agreement and project progress. The entry-level salary is at least EUR 4,932.90/month gross, paid 14 times per year, with potential increases based on relevant experience. The university encourages applications from women and individuals with special needs, with preference given to equally qualified female candidates. The application deadline is November 13th, 2025, and further inquiries can be directed to Professor Katja Hose. The workplace is centrally located in Vienna with excellent accessibility.