University Assistant (Prae-Doc) 30 hours/week | limited to 4 years - Institute of Logic and Computation

TU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching, and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society.

At the Institute of Logic and Computation, in the Research Unit of Databases and Artificial Intelligence (192-02), TU Wien is offering a position as University Assistant (Prae-doc) limited to expected 4 years for 30 hours/week. An extension to a full-time position (40 hours/week) from third-party funds of the Institute is possible. Expected start: December 2024 The research work will be concerned with using knowledge graphs and graph technologies to bring meaning to large amounts of heterogeneous data, enable novel perspectives of analysis, and make data and results accessible. Of particular interest are scalable support of knowledge graph evolution, provenance, data integration, exploration and analytics, quality, and the combination with LLMs.

Tasks:

• Research, project, and publication activities within the fields of databases, data and knowledge engineering
• Solving scientific problems with the motivation for independent and goal-oriented research
• Writing a dissertation and scientific publications
• Participating in teaching activities
• Participation in scientific events

Your profile:

• An excellent master or diploma in Computer Science (or closely related field)
• Strong programming skills and experience with developing research prototypes
• In-depth knowledge and experiences within the following areas are highly appreciated: graph data management, data integration (data lakes, fabrics), semantic technologies, provenance, machine learning, LLMs, and dynamic/temporal knowledge graphs.
• Ability to develop methods, concepts, as well as their implementation and evaluation
• Willingness to contribute in interdisciplinary projects
• Organizational and analytical skills as well as a structured way of working
• Ability to work in a team, problem-solving skills, and creative thinking
• Excellent spoken and written communication skills in English. Knowledge of German (level B2) or willingness to learn it in the first year

We offer:

• A wide variety and exciting range of tasks in a collegial team with flexible working hours
• Central location of workplace with a very good accessibility (U1/U4 Karlsplatz)
• A creative environment in one of the most liveable cities in the world
• German courses if needed
• A highly competitive salary and a range of attractive social benefits (see Fringe-Benefit Catalogue of TU Wien)
• Excellent research environment in an internationally visible team
• A wide range of internal and external training opportunities, various career options

Entry level salary is determined by the pay grade B1 of the Austrian collective agreement for university staff. This is a minimum of currently EUR 2,684.10/month gross, 14 times/year for 30 hours/week. Relevant working experiences may increase the monthly income. We look forward to receiving your application until September 12th, 2024.

TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour. People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter.

If you have any questions, please do not hesitate to contact us Carmen Keck | T: +43 1 588 01 406201 Here you can find also relevant information about the application process.