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Katja Hose

10 months ago

PhD Position: University Assistant Prae-Doc in Logic and Computation (Knowledge Graphs, AI) TU Wien in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Austria

University

TU Wien

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Artificial Intelligence
Computational Science
Graph Theory
Explainable Ai
Knowledge Representation
Logic Programming
Research Synthesis
Graph matching

About this position

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]).

Funding details

Available

What's required

Applicants must hold an excellent master's or diploma degree in Computer Science or a closely related field. Strong programming skills and experience in developing research prototypes are required. In-depth knowledge and experience in knowledge graphs, graph embeddings, vector stores, and graph data management are essential. Candidates should have interest and experience in representation learning, embeddings, or explainable AI, and possess analytical and creative thinking, as well as a structured and goal-oriented working style. Ability to work independently and in a team is necessary. Very good English communication and writing skills are required. Knowledge of German at level B2 or willingness to learn it is expected.

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